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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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International Graduate School of Life Sciences (RIGeL) offers a well-structured PhD programme for young scientists in the field of Life Sciences. The PhD programme assures a high quality education. PhD students
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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for the PhD programme must have successfully completed a university course of study in veterinary medicine, medicine, dental medicine (state examination), biology, biochemistry, chemistry or in another field
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We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will work at the interface
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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The international doctoral programme "Science and Health in Football" is hosted by the Institute of Sports and Preventive Medicine at Saarland University and funded by the German Football Federation (DFB). Close
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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and political science, the Institute´s research program aims to combine and develop the approaches of new economic sociology and comparative and international political economy. The MPIfG is currently