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multidisciplinary setting (required) Motivation to participate in a structured PhD training programme (required) Interest in studying the function of ion channels involved in reproduction (required) Master in biology
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climate research, a forward-looking area with social significance 30 vacation days + additional time off at Christmas Eve and New Year's Eve Company pension plan and capital-forming benefits The position is
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, Marine Geoscience, Physical Oceanography and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine
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conditions are met. Under the terms of the “LMU Academic Career Program”, in exceptional cases and subject to outstanding performance in research and teaching, the position may be converted from a W2 into a W3
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
specificity) Your profile Enrolled in a Master's program Basic biochemistry knowledge and experience with laboratory work Theoretical knowledge about nanoparticles and nucleic acid delivery Experience with
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different models, test them and evaluate them with scores. What you bring to the table You are enrolled as a student in Computer Science, Engineering, Natural Sciences or a comparable degree program Basic
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, materials technology, electrical engineering, chemistry, physics or a comparable degree programme Technical issues spark your interest, and you enjoy working carefully, independently and in a structured
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Description of the offer : Participation in the DFG-funded project “Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491
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next-generation semiconductor technologies. What you will do Deposition experiments of binary metal alloys: Plan and conduct deposition experiments of binary metal alloys by sputtering (PVD) on a 300 mm
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, utilizing web-based user interfaces and simplifying reporting. Key responsibilities: Development of computer vision models to analyze measurement data. Extract meaningful information from metrological data