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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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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers. The research will be accompanied by
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of Physics by means of various spectroscopy schemes and also at Q.ANT in their gyroscope/magnetometer labs. With this thesis, the PhD student will acquire broad knowledge on state-of-the-art laser technology
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) theoretical and practical experience in peptide chemistry, nucleic acid chemistry as well as knowledge of bioassays are beneficial Experience and knowledge in fluorescence spectroscopy/imaging is desired
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; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and chemical software handling; confident presentation of scientific results in English
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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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for knowledge and technology transfer, emphasizing multidisciplinarity. As a certified family-friendly university, we support the balance between work and family, as well as between professional and
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, Cheminformatics, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language
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/Diploma) in food chemistry, biochemistry, nutritional sciences or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS experience in