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machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
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desirable. Understanding of fermionic superfluidity/superconductivity and topological materials is beneficial. Working skills in data analysis and automation of experiments with MATLAB, Python, or equivalent
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this role, you have: strong programming skills in at least one of the following: Python, R, or MATLAB, and willingness to work across these environments as needed for data analysis, modelling, and method
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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insulation applications Programming skills and experience with tools such as MATLAB or Python Adobe Creative Suite Software (Photoshop, Illustrator, and InDesign) Rhino 3D modelling and Grasshopper scripting
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or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications Applicants must fulfill the eligibility and
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skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications