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Field
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. Requirements: university degree in Computer Science, Physics, Engineering, or a related field strong background in relevant research areas genuine interest in research and a high level of enthusiasm
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and
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. The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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the activities of the SFB ChemPrint Writing of scientific publications and project reports Your Profile: Masters degree in materials science, chemistry, physics, production engineering, energy technology or
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. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
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Jülich - Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry
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-kolleg.org/en/bergsas/programme/laa/index.html is not on the archaeology of specific regions, or spaces, but rather on the spectrum of methods and research strategies applied in the study of landscape
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At the Fraunhofer Institute for Applied Solid State Physics IAF, we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct