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to develop long term, quantitative strategic plans that emphasize sustainable agribusiness enhancement. This PhD position is carried out in collaboration with the Doctoral Program in Agricultural and Forestry
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to fulfill the aims of this projects, computational chemistry aspects of the project will be co-supervised by Dr. Mehedi Davari at the IPB (Projects: Leibniz Institute of Plant Biochemistry English ) and
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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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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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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? The position is part of the DFG-funded project “Methane production by
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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? This position will be embedded in the overarching programme “STB - Shallow Water
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Training Group 2413 SynAGE, supported by the German Research Foundation seek for a highly motivated PhD student position (f/m/d) starting as soon as possible for a 3-year fixed-term period (in accordance
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science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
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, or in a related discipline Profound data processing and image analysis skills Good knowledge in programming, ideally in Python Ability to work self-reliant and to collaborate in a team of scientists