💫 A last lecture Yesterday, our own Jana Madjarova, Professor in Analysis and Probability Theory at the Department of Mathematical Sciences, Gothenburg, delivered her last lecture in Mathematical Analysis. The lecture hall was packed with almost 300 current and former students to celebrate her final lecture with long and standing ovations. For many years, Jana has taught mathematics and served as Head of Programme for Engineering Physics. Through her work, she has contributed to the development of mathematical education and inspired generations of students. Thank you, Jana! Chalmers tekniska högskola, Department of Mathematical Sciences, Gothenburg, Chalmers Department of Physics, Ulf Gran, Christian Forssén #mathematicalsciences Photo by: Christian Forssén
Department of Mathematical Sciences, Gothenburg
Forskning
We conduct mathematical research and education at Chalmers University of Technology and University of Gothenburg.
Om oss
The joint Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg is the largest mathematics department in Sweden, with around 200 employees. We are engaged in education and research in a wide range of disciplines and areas of expertise from basic research to applications. We have several bachelor's and master's programmes and courses at both Chalmers and University of Gothenburg.
- Webbplats
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https://www.chalmers.se/en/departments/mv/
Extern länk för Department of Mathematical Sciences, Gothenburg
- Bransch
- Forskning
- Företagsstorlek
- 201–500 anställda
- Huvudkontor
- Gothenburg
- Typ
- Utbildningsinstitution
Adresser
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Primär
Få vägbeskrivning
Chalmers Tvärgata 3
Gothenburg, 412 58, SE
Anställda på Department of Mathematical Sciences, Gothenburg
Uppdateringar
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Stort grattis - och inte minst till vår egen Erik Kristiansson från Department of Mathematical Sciences, Gothenburg 👏
Pris till gränsöverskridande forskning och samarbete vid Chalmers 👏 ➡️ Styrkeområdenas pris 2025 tilldelas Erik Kristiansson, Michaela Wenzel och Fredrik Westerlund, för sitt arbete med att vidareutveckla och stärka Centrum för antibiotikaresistensforskning, Care. Centret Care samlar omkring 150 forskare och syftar till att minska dödlighet, sjuklighet och socioekonomiska kostnader kopplade till antibiotikaresistens genom avancerad tvärvetenskaplig forskning inom området. Care startades som ett centrum på Göteborgs universitet 2016. Under 2020 började arbetet med att utöka Care till att även omfatta Chalmers, Sahlgrenska Universitetssjukhuset och Västra Götalandsregionen. Ett första steg i detta arbete var när Fredrik Westerlund valdes in i styrgruppen som leddes av Erik Kristiansson. 2023 inrättades den nya och utökade versionen av Care, med Michaela Wenzel, som biträdande centrumföreståndare. Styrkeområdenas pris har instiftats för att lyfta fram forskning vid Chalmers som genom gränsöverskridande samarbeten bidrar till att lösa framtidens stora utmaningar och verkar för ett hållbart samhälle. Department of Mathematical Sciences, Gothenburg Chalmers Department of Life Sciences #chalmersuniversityoftechnology #forskning #antibiotikaresistens
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Department of Mathematical Sciences, Gothenburg omdelade detta
🚀 Hur väcks intresset för naturvetenskap, teknik och matematik? Ibland börjar det med något så enkelt – och kraftfullt – som att bygga en egen raket och se den lyfta. I lördags fick vi besök på Chalmers av nyfikna barn från Biskopsgården som, tillsammans med engagerade studenter, fick utforska matte, teknik och raketbygge på ett lekfullt sätt. Ett fantastiskt exempel på hur lärande, kreativitet och glädje kan samverka – och kanske tända den första gnistan hos framtidens innovatörer. 📺 Se SVT:s reportage här: 🔗 https://lnkd.in/dXxspwt Intize #BergsjönsStudiecenterLäxhjäp #STEM Chalmers tekniska högskola
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Department of Mathematical Sciences, Gothenburg omdelade detta
Hur kan ordning uppstå ur mikroskopiskt kaos? Det är en av de frågor som matematikern och Wallenberg Scholar Robert Berman försöker besvara. Hans forskning kan hjälpa oss att förstå vad som händer i svarta hål – men också leda till tillämpningar vi ännu inte känner till. – I vissa extrema situationer måste gravitationsteorin förenas med kvantfysiken – när den stora och den lilla världen möts, som i ett svart hål. Där pressas enorma massor ihop av en extrem gravitation och koncentreras till ett mycket litet område. Men när man försöker kombinera gravitationens och kvantfysikens lagar kollapsar teorierna – de tycks inte passa ihop. Det finns bara några första frön till en gemensam teori, och det är här min matematik kommer in, säger Robert Berman, professor i matematik, Chalmers. https://lnkd.in/drZ-QBKZ #forskning #vetenskap #matematik Chalmers University of Technology University of Gothenburg
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Department of Mathematical Sciences, Gothenburg omdelade detta
🏆 🎉 ⭐ We're so happy to learn that this year's Nobel prize in Physics is awarded to the three quantum mechanics pioneers John Clarke, Michel Devoret and John Martinis "for the discovery of macroscopic quantum mechanical tunneling and energy quantisation in an electric circuit". We are delighted that John Clark and John Martinis have served as guest researchers here at Chalmers University of Technology in recent years, maintaining a close relationship with the university, Chalmers Department of Microtechnology and Nanoscience and with Sweden’s leading quantum technology research initiative, WACQT - Wallenberg Centre for Quantum Technology. And watching our own Göran Johansson explain the significance of this year’s Nobel Prize in Physics live on TV during the announcement made us all incredibly proud! Per Delsing Tord Claeson Floriana Lombardi The Royal Swedish Academy of Sciences The Nobel Prize Yale University UC Santa Barbara University of California, Berkeley Read more here: https://lnkd.in/dAX8yPvp
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Department of Mathematical Sciences, Gothenburg omdelade detta
Proud supervisor moment! Congratulations to Petar Jovanovski for successfully defending his PhD thesis "Simulation-based parameter inference methods based on data-conditional simulation of stochastic dynamical systems". I am very proud of your work, and I find your scientific integrity, dedication and humbleness inspiring. You deserve the best for your next career step, and life in general! Many thanks to Dennis Prangle (Bristol Uni) for acting as opponent/discussant, and the examination board consisting of Erik Lindstrom (Lund Uni), Geir Olve Storvik (Oslo Uni), Matti Vihola (Jyväskylä Uni) and Pierre Nyquist (Göteborg Uni). Many thanks to co-supervisor Moritz Schauer (Göteborg Uni) and examiner Petter Mostad (Göteborg Uni) for your support and advise during these 5 years. And of course, thanks to co-authors Andy Golightly (Durham Uni) and Massimiliano Tamborrino (Warwick Uni). Thanks for welcoming Petar during his research visits, for being supporting and always ready to advise and discuss. You have been great! Here is an interview with Petar, and at the bottom you find a link to the thesis https://lnkd.in/d8Azawjb
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Department of Mathematical Sciences, Gothenburg omdelade detta
Currently packing my suitcase for Gothenburg to take part in this
Better inference for stochastic dynamical systems Stochastic dynamical systems arise in many scientific fields and are also the topic of Petar Jovanovski’s PhD thesis. Many real-world systems, such as asset prices in financial markets, neural activity in the brain, or the spread of infection diseases, evolve in ways that are partly random. – Most of the thesis focuses on continuous-time models, though one paper also considers discrete-time systems. Even though the behaviour is continuous in time, we observe it only at discrete points, often corrupted by measurement noise. The central aim is parameter inference: estimating the parameters of these models in a Bayesian framework by computing their posterior distribution given the data. However, because the likelihood function is analytically intractable, standard statistical tools cannot be applied directly, Peter says. Read the full interview here: https://lnkd.in/dbQvCX6n Petar will defend his PhD thesis Simulation-based parameter inference methods based on data-conditional simulation of stochastic dynamical systems on September 19 at 09:00 in the lecture hall Pascal at the Department of Mathematical Sciences, Gothenburg. Supervisor is Umberto Picchini, examiner Petter Mostad and assistant supervisor Moritz Schauer.
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Better inference for stochastic dynamical systems Stochastic dynamical systems arise in many scientific fields and are also the topic of Petar Jovanovski’s PhD thesis. Many real-world systems, such as asset prices in financial markets, neural activity in the brain, or the spread of infection diseases, evolve in ways that are partly random. – Most of the thesis focuses on continuous-time models, though one paper also considers discrete-time systems. Even though the behaviour is continuous in time, we observe it only at discrete points, often corrupted by measurement noise. The central aim is parameter inference: estimating the parameters of these models in a Bayesian framework by computing their posterior distribution given the data. However, because the likelihood function is analytically intractable, standard statistical tools cannot be applied directly, Peter says. Read the full interview here: https://lnkd.in/dbQvCX6n Petar will defend his PhD thesis Simulation-based parameter inference methods based on data-conditional simulation of stochastic dynamical systems on September 19 at 09:00 in the lecture hall Pascal at the Department of Mathematical Sciences, Gothenburg. Supervisor is Umberto Picchini, examiner Petter Mostad and assistant supervisor Moritz Schauer.
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Department of Mathematical Sciences, Gothenburg omdelade detta
Torbjörn Lundh och jag har sedan 2023 arbetat tillsammans med Folkhälsomyndigheten och FOI för att stärka Sveriges beredskap kring modellering av smittspridning. En viktig del har handlat om att samla experter inom detta område i ett nätverk – SEMAFOR. I höst ska vi ge oss i kast med en scenarioutmaning organiserad av amerikanska smittskyddsmyndigheten CDC där vi tillsammans med grupper från hela världen ska göra projektioner för en hypotetisk pandemi: https://lnkd.in/dQ97MSK9 https://lnkd.in/dCYbKT9A
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Department of Mathematical Sciences, Gothenburg omdelade detta
Förra våren hade jag glädjen att handleda Grégoire Béchade som besökte Matematiska vetenskaper som praktikant från Ecolé Polytechnique. Hans arbete ledde till en artikel om hur olika prediktionsmodeller kan kombineras för att skapa prognoser för sjukhusinläggningar under en epidemi. Det finns att läsa som preprint och kommer förhoppningsvis inom kort att publiceras. https://lnkd.in/dszyS5gU