76 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Chalmers University of Technology
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– forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/doctor-… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research
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geometry etc. This is a highly active field with research groups around the world. In this project, you will learn to combine modern analysis techniques like Morawetz estimates with Penrose's Nobel prize
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position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025
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machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value
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funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month
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of Biosciences Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position
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The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A
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and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems