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qualifications We are seeking a PhD candidate who has a food science or veterinary education and enjoy laboratory work and would like to develop in bioinformatics. If you already have a background in
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). Specifically in Materials Science and Engineering, Chemical Engineering, Environmental Engineering, Energy Systems, or a related discipline. The ideal candidate will have: Proven expertise in membrane
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innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience
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Transportation Science Division, at the Department of Technology, Management and Economics – in short DTU Management. The position offers a unique platform to conduct pioneering research in Human Mobility while
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in
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computing Strong programming skills in C++ and experience with parallel computing (e.g., CUDA, MPI). Experience with tokamak edge gyro-fluid modelling Experience with continuous integration of scientific
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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab
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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together