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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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various versions of ProQ. The group comprises 5 PhD students, one postdoc, and one senior researcher. Qualification requirements Requirements are: Doctoral degree including work in machine learning applied
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. The position is limited to four years, with the possibility to teach up to 10%, which extends the position to 4.5 years. A fixed salary of 39,900 SEK per month, valid for Marie-Curie funded PhDs. A
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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++, Fortran) Background in mechanics of materials or computational modelling Experience with machine learning for physical fields/PDEs/GNNs and HPC workflows Interest in interdisciplinary collaboration and
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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PhD with a background in science and technology studies (STS), human-robot interaction (HRI), human-computer interaction (HCI) or social sciences. The project aims to develop a Nordic Model for