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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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. The aim is to evaluate and improve the long-term reliability of these materials for green hydrogen production. To achieve this, your responsibilities will include: Design and execution of experiments
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | about 1 month ago
for ATAC, transcriptomics and multiomics assays Quality control of cells and nuclei (e.g. microscopy, Luna cell counter) User support and expert advice on experimental design, data analysis and
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 10 days ago
methods, with focus on the relations between reactions’ activity/selectivity and catalyst structures, reaction environment and reactor designs Simulations of reaction schemes and transport phenomena
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‑on experience with molecular techniques (e.g., eDNA metabarcoding), microscopy (preferably DIC), and basic cultivation of marine microorganisms. You’re passionate about interdisciplinary research, thrive in
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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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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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), 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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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