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Field
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the fields of chemical engineering, technical chemistry, organic chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage Independent and self-motivated way of working
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chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage Independent and self-motivated way of working High motivation to complete the doctorate within three years Very
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reimbursed. Academic admission requirements For admission requirements, please visit our website. Language requirements Candidates must have very good knowledge of both German and French (C1–C2). Application
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coaching. Your Qualifications An outstanding Master’s degree in Computer Science, Computational Linguistics, Data Science, or a related field. Strong theoretical knowledge and hands-on experience in
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, 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 skills, ability
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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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computing Advanced knowledge of numerical methods Geophysical fieldwork experience, preferably with GPR, EMI and ERT Strong English writing skills Since the work involves interdisciplinary cooperation with
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independently and as part of a multi-disciplinary team a strong interest to acquire biological knowledge and work together with life scientists very good communication skills in English Are you interested? Then
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of the SusMet students together. They deepen and extend the scientific knowledge, but they also enhance social competences and support the integration of the doctoral students in the scientific community and in
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Biology, Biochemistry or a related field Working knowledge of English Independent, structured, and precise working style Interest in interdisciplinary collaboration and modern research approaches What we