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courses or tutorials) may also be possible. While knowledge of German is not required, it will be considered a plus. Your tasks Preparation and characterization of the samples in our laboratories
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skills in Next-Generation-Sequencing, CRISPR/CAS9, shRNA-mediated knock down and genome editing techniques Experience in writing scientific reports and papers Very good knowledge of and experience with MS
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant
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researcher is to contribute to answering this research question by designing, coordinating and conducting empirical research on the use of heuristics in cognition of algorithmic legitimacy. Working closely
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop essentially new methods
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Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position at the Senckenberg Biodiversity and