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Field
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. You should bring: A completed Master’s degree (or equivalent, graded good or very good) in a relevant discipline — including Economics, Political Science, International Relations, Asian or China Studies
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simulations. Your Profile Excellent completed master's degree in physics, materials science, engineering or a related field. Good knowledge of solid state physics. Ideally, experience in the fields
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and biomedical applications; prior exposure to medical data is welcome but not required Very good command of English; German is an asset but not a requirement Independent, rigorous, and collaborative
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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, processing- and product-related aspects as well as nutritional value. Examples are proteins that serve as major nutrients (e.g., cereal storage proteins) as well as those with anti-nutritive activity (e.g
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sciences Requirements: very good university degree (M.Sc. or equivalent) in chemistry or materials sciences; specialization in inorganic chemistry, material chemistry or electrochmistry practical experience
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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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activities—particularly increasing energy production and consumption, but also natural processes—release large quantities of trace substances, thereby influencing the composition of the atmosphere and the
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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encouraged. Academic Requirements academics qualified for doctoral studies and with an above-average degree (overall grade at least good or very good; law: at least fully satisfactory) The doctoral studies