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an interdisciplinary manner within a structured program. The projects address the three “One Health” aspects: 1) human roundworm infections (close cooperation and fieldwork in Kenya/Africa), 2) roundworm infections in
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an interdisciplinary manner within a structured program. The projects address the three “One Health” aspects: 1) human roundworm infections (close cooperation and fieldwork in Kenya/Africa), 2) roundworm infections in
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, Computer control of measuring equipment and data acquisition, Ultrafast dynamics, X-ray spectroscopy, Ultra-high vacuum technology. Applications should be sent by e-mail, together with significant documents
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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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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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structured program. The projects address the three “One Health” aspects: 1) human roundworm infections (close cooperation and fieldwork in Kenya/Africa), 2) roundworm infections in farm animals (chickens and
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or a closely related field. (Professional) Experience Expertise in research in the field of Computational and Theoretical Chemistry. Desirable: • Very good knowledge in theoretical chemistry with
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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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Berlin, and the Max Planck Institute in Hamburg. Our work combines physics, chemistry, and materials science – pushing the frontiers of quantum materials research. The overarching goal of the Collaborative
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Physics, Chemistry, Applied Mathematics, or related fields. Desirable: Fluent English, spoken and written Strong background in computational Physics and Statistical Physics Previous work experience in