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Field
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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, creativity, rigor, ownership, and excitement to push research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, data management, and
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the context of stress and depression? Are you intrigued to learn more about early-life stress as risk factor for depression and the role of the endocannabinoid system? Do you enjoy working in a lab with
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Beatriz
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
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the project. This position is embedded in the Security, Technology and e-Privacy Research Group (STeP) at the Faculty of Law and the Jantina Tammes School of Digital Society, Technology and AI research
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mathematical microbial kinetics models and quantitative risk assessments; develop user-friendly tools for quality and safety assessment of plant-based meat analogues; supervise BSc and MSc thesis research
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented 2 PHD-STUDENTS IN NEUROAI OF DEVELOPMENTAL VISION (M/F/X). Job description The Curriculum
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(agent-based modeling, differential equations) or machine learning tools. Good programming skills in one of the following programming languages: R, Python, MATLAB, or similar; Excellent English language