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Field
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Synthetic Biology is looking for a Doctoral Researcher (F/M/D) with experience in biology, protein biochemistry, and/or microbiology. The project will focus on the development of safety-by-design strategies
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), for example with the isopropanol/acetone couple. Some of your responsibilities will include: Design, manufacturing, and evaluation of catalyst and transport layers for Direct Isopropanol Fuel Cells (DIFC
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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, geophysics, geology or a closely related field Fluent in English (spoken and written) Strong motivation for mathematical inverse methods Strong motivation for team collaboration Experience with paleomagnetic
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optimization and sensitivity experiments for each portfolio design problem to explore the outcomes for correlation and causation between the metrics, groups, and network changes, and establish Pareto optimal
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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– Ref No. 11/2025 ): Cover letter detailing your previous research experience and motivation CV with publication list (if applicable) Academic transcripts (Bachelor & Master) Contact details of two
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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ability to integrate into an international and interdisciplinary research environment Joy and expertise in chemical engineering Laboratory experience is required Experience with catalyst synthesis and