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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in
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27 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil
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1st March 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a SFI FAST: PhD positions in Aluminium Extrusion and Forming (Two positions
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Package 3 (Trustworthy Data and Models) of the EU Horizon ENDOTRAIN doctoral training network. The recipient of this PhD position will carry out research activity at the Department of Computer science
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Mechanical and Industrial Engineering has a vacancy for PhD Candidate in
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health in Europe. This project is part of Work Package 3 (Trustworthy Data and Models) of the EU Horizon ENDOTRAIN doctoral training network. The recipient of this PhD position will carry out research