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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Job Code: PhD 10/25 Job Offer from September 19, 2025 The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany, is an internationally recognized research
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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate to gain formal qualifications as researcher in engineering science. This opens up for high
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-financed by the Interreg Atlantic Area Programme through the European Regional Development Fund Workplan: The PhD plan is aimed at implementing Lagrangian and Eulerian descriptions of the motion of particles
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motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute for Mathematics at the University
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PhD Positions Country Portugal Application Deadline 7 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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degree and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate to gain formal qualifications as researcher in engineering science. This opens up
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application! Defects in next generation ceramic semiconductors. Your work assignments We are looking for a PhD student with an interest in a fundamental understanding for advanced materials and the next
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the methods and mathematical theory in experiments. (See example references [1,2,3] below for initial results.) During the PhD, you will initially work on a pre-specified subproject of your choosing, which
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods