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for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society
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aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through various activities
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research is currently the main focus. Here, laboratory experiments are usually combined with state-of-the-art methods such as optogenetics, connectomics or machine learning. Activate map To activate the map
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 29 days ago
encouraged!) Your profile Master’s degree (or close to completion) in Microbiology, Immunology, Molecular Biology, or a related life science Strong motivation to learn new in vitro, ex vivo and in vivo
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environment offers abundant opportunities for both direct and indirect learning in various technologies, making it an ideal place to start a career in the field. For scientific information about the project
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, the university is actively part of regional, national and international research networks. The university is committed to the principle of unity between research and teaching. Students acquire knowledge, expertise
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in
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support the possibility of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy
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. Additionally, doctoral candidates will take basic courses consisting of two main sections each: E-learning courses covering the essentials Cognition academies (classroom weeks) in which all doctoral candidates
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research