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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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Responsibilities: The successful applicant will cover research and teaching in the fields of biodiversity and conservation genomics at Freie Universität Berlin and co-direct the Berlin Center for Genomics in Biodiversity Research at the Leibniz Institute for Zoo and Wildlife Research...
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Computer Science, IT Systems Engineering, Data Science, Bioinformatics, Mathematics, Physics, or a related field. - Solid, demonstrable software engineering skills and ability to write clean, testable, and well
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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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The Department of Earth Sciences has been offering a new international Master's degree programme "Planetary Sciences and Space Exploration" since the winter semester 2022/23. A tutor position
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, collecting, harmonizing, and systematizing historical data from primary sources of various countries and cities using statistical software, as well as assist in making simpler descriptive analyses. Desirable
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of ant trails. Next to statistical physics, high-performance simulations are an important tool for us, for which we have developed "HAL's MD package". This comprehensive software provides large-scale
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(especially Fortran and Python) - studies in a science degree program (BSc or MSc), preferably in planetary sciences - basic knowledge or strong interest in planetology and geodynamic modeling - english skills