853 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Sweden
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complex behavior under demanding operating conditions presents a significant modeling challenge. This project addresses that challenge by combining machine learning with constitutive modeling, while
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Engineering and will become part of the national graduate school FOFOS – Research School for the Transformation of the Public Sector (https://www.mdu.se/forskning/forskarskolor/forskarskolan-fofos ). FOFOS is
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your application: Experience in system identification and machine learning is a merit. What you will do Perform research, developing your own scientific concepts and communicating the results of your
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14445&rmlang
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. Where to apply Website https://lu.varbi.com/en/what:job/jobID:906273/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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application with the reference number below. Final day to apply: 27 April, 2026 Reference number: 2450-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator
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here Want to make a difference? Join us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:914443/type:job/where:39/apply:1 Requirements
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us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:910639/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation
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Website https://uu.varbi.com/en/what:job/jobID:911571/type:job/where:39/apply:1 Requirements Research FieldTechnologyEducation LevelPhD or equivalent Research FieldTechnologyYears of Research Experience4
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aspects of both. The first direction concerns the data-driven discovery of dynamical rules underlying developmental trajectories. The aim is to develop and analyze quantitative frameworks that learn