187 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Munich
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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observation will be supported. YOUR QUALIFICATIONS PhD in computer science, geoinformatics, data science, business administration, or comparable field of study professional experience in Earth observation and
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they can implement in their field the same day. YOUR REQUIREMENTS 1. We require you to have a Master’s degree, but a PhD is preferable. 2. Your focus should be on some aspect of agricultural engineering
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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to an international competitive PhD degree and internationally peer-reviewed publications. This includes participation in selected nationally and internationally funded projects of the Chair Group, such as the EU
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near Munich in Germany. If your goal is to explore novel approaches to advance superconducting quantum computing, we would be happy to receive your application. We are looking for a skilled candidate
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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preliminary work! • You will characterize metalloid transport proteins. • You will be involved in the training of students on the Bachelor and Master level. YOUR QUALIFICATIONS AND SKILLS • You have a PhD or
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programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures