64 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" PhD positions at Technical University of Munich
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or School of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics strong
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Universitätsklinikum rechts der Isar der TU München Ismaninger Str. 22, 81675 München http://kornlab.med.tum.de The position is suitable for disabled persons. Disabled applicants will be given preference in case
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: recruiting.leibniz-lsb@tum.de More Information https://www.leibniz-lsb.de/
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to design and evaluate programs that enhance community wellbeing. The project is a collaboration between the University of Global Health Equity (Rwanda), TUM, NYU Abu Dhabi, and the Government
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic materials, materials
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab