188 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Munich
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postdoc working and PhD students) to join us and work at the forefront of this exciting project from November 2024. We are looking for outstanding /ambitious candidates with strong expertise/background in
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” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
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will contribute to the operation and maintenance of the scientific infrastructure of the group. Requirements: PhD in mass spectrometry-based proteomics and a compelling publication record. Extensive
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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technical alignment in the three use cases. The PhD candidate will be able to carry out a dissertation project within the framework of LLMs governance supervised by Prof. Dr. Urs Gasser (TUM). Eligibility
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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focus on business and management (e.g. business administration, industrial engineering, business informatics or economics), informatics or natural sciences/engineering with an outstanding degree (resp
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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Design Engineering at Imperial College London, TUM’s Professorship of Energy Management Technologies participates in this program and awards an excellent candidate with a prestigious JADS PhD scholarship