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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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, public relations, and outreach activities. Your profile You hold a Master’s or PhD degree in the natural sciences, engineering, physics, medical technology, biomedical computing – or a related field. You
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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as part of the selection process. Further information If you are interested in the programme, please contact: German Academic Exchange Service (DAAD) Regional Office in Hanoi for Cambodia, Laos
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and Natural Sciences in the 2nd semester of their 2 year Master’s programme or 4th Semester of their 3 year MTech programme or in the 8th semester of an integrated / dual degree programme. What can be
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. PIK is offering a Programme coordinator position for the Planetary Boundary Initiative (m/f/d) (Position number: 17-2025 Programme coordinator) starting as soon as possible. The position is funded until
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addition to the Institute of Psychology, includes other departments of the Faculties of Natural Sciences and Medicine, the Leibniz Institute of Neurobiology and the German Center for Neurodegenerative Diseases, which
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W3-Professor or W2-Professor with tenure track to W3 for Theoretical Physics – Relativistic Astrophy
, astronomy and/or computational physics. These activities should be strengthened and expanded, in particular with respect to coordinated funding programs, while additional, new initiatives are welcome
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, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
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computational pipelines. Expertise in machine learning, with a particular emphasis on the application of large language models (LLMs) in biological data analysis. Proficiency in programming languages such as