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Field
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Human Genome-Phenome Archive. The position will also be connected to a vibrant local ecosystem for data science and machine learning. Your Tasks The research group of Dr. Brian Clarke is looking for a
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personnel management of a large area of responsibility. The requirements for appointment are a university degree in medicine, recognition as a specialist in the field of orthopaedics and trauma surgery
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 months ago
investigated by in situ X-powder diffraction, scattering techniques, and spectroscopic measurements. The in situ/operando experiments will be performed in our laboratories and at large research synchrotron
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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“BoTiKI “(funded by the Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety), ideally starting as soon as possible in 2025. About the project: Soil is a large
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duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Beginning is in January each year or individually later. Application deadline There is one application
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05.05.2025, Wissenschaftliches Personal At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position will be available from May 2025 in
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content BIGS-OAS investigates the cultures and societies of Asia and the Middle East in change through time and the
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science, automation science, or a related field, and convincing expertise in robotic hardware. Experience with machine learning and large language models is highly desirable. Prior experience in a biological setting