41 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"Prof" positions at Chalmers University of Technology
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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credits or a Master’s degree (magisterexamen) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent Excellent written and verbal communication skills in English Ability to program in high
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frameworks established around the transition labs within the national innovation program of Shift Sweden. About us The transition labs in Lindholmen and Kronoberg address how concrete design and transformation
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setting up empirical studies, collecting and maintaining data, data analysis tasks or programming tasks. You will have regular contact with the researcher about which elements and practical moments you can
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Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in some of the following areas: programming, optimization. What you will do Take courses at an advanced
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: Programming experience in Python and/or Julia, MSc in geometric mechanics or geometric numerical integration, knowledge of PDE-theory. What you will do Take courses at an advanced level within the Graduate
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geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics. What you will do Take courses at an advanced level within the Graduate
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computational modelling and electronic-structure methods. Experience in programming and machine learning What you will do Take courses at an advanced level within the Graduate school of Physics orMaterials