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the opportunity to acquire expert skills and knowledge of innovative single-molecule manipulation methods applied to a highly relevant topic of molecular separation. Salaries will be according to DFG standards
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of plant development. You will work in an interdisciplinary team with postdocs from Jülich and Hohenheim. Your tasks Literature research and (meta-)analysis to provide evidence-based knowledge for model
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, sufficient knowledge in at least two European languages of scholarship, including German, is required to participate in the programme. Teamwork skills and the willingness to actively contribute to the Class of
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are looking for candidates with a 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
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: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials
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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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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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or equivalent from an accredited institution Previous experience in relevant research methodology and technology and basic knowledge in gastrointestinal cancer model systems appreciated Advanced English
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biochemistry, cell biology and immunology are required. Experiences in bioinformatics and animal handling are not required but will be a plus. • Strong speaking/writing skills in English. Knowledge in German is
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-reviewed scientific journals and presentation at project meetings and conferences Your Profile: Excellent master’s degree in Physics, Material Science, or Chemistry with knowledge of nanotechnology Profound