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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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to how well they meet the following criteria: A first class or strong upper second-class undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and
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about to obtain, a First or Upper Second-Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Statistics, Mathematics, Data Science or Computer Science. To apply, please
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development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud
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Your Job: The Sustainable Photovoltaics group at HIERN is looking for two PhD students to support the work in the ChemPRINT Collaborative Research Center, for the Implementation of the project work in the ChemPRINT project. Research in the Sustainable Photovoltaics group focuses on the...
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Your Job: Become part of the Microscale Bioengineering working group! We will tailor your individual research project to your technical expertise and personal interests. Development and optimization of microfluidic cultivation platforms for co-cultures Live-cell microscopy (including...
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Job Description We are looking for an ambitious biologist or veterinarian with an interest in diet, intestinal microbiome and chronic kidney disease. You will become part of our internationally renowned research group for Gut, Microbes, and Health at the National Food institute, Technical...
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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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related discipline. Strong background/skills on machine learning, mathematics, probabilistic modelling and optimisation are preferred. To apply please contact the supervisor, Dr Mu - Tingting.Mu