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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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, mechanical engineering, physics or similar basic programming skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g
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experience in software engineering, with a sound understanding of key principles and best practices. Knowledge of the following areas is desirable: Experience and/or prior knowledge in one of the following
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Description The Institute for Software and Systems Engineering (ISSE) of the University of Technologies Clausthal is hiring a academic researcher in the field of AI-based systems for a circular
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to characterise mice in terms of their cognitive, social and emotional behavioural spectrum Molecular and cell biology analyses of neuroplasticity, endocrinology and immunology using established techniques (e.g
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, computer science, bioinformatics, biochemistry and biology allow you to catch up with the areas unfamiliar to you Nanocourses push your knowledge at the cutting edge of research in biology and computation Summer
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) interest in materials science (e.g., SCC) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability to work in an interdisciplinary and international
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have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You are confident in object-oriented programming