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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Professional assignment: Chair of Knowledge-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski
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should be worked out. Furthermore, the knowledge of the respective functioning of ancient images and artifacts should be combined with the contemporary possibilities of visual presentation. International
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university degree (Master's/Diploma) in biology, food chemistry, biochemistry, biosciences or a related subject area sound knowledge in the fields of plant cultivation and/or plant nutrition experience in
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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these fields is advantageous: Atomic layer deposition, sputtering, XRD, XRR, XPS, SEM. Excellent written and spoken English, knowledge of German is an advantage. Our benefits International and interdisciplinary
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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(at least finished before July 2025) very good programming skills and AI/ML knowledge good written and spoken English skills (CEFR level C1 or higher) We offer: cutting-edge research in data science and
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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degree of independence and commitment Very reliable and conscientious style of working Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be