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: According to §110 (4), sentence 3, the BerlHG provides academic staff with an appropriate amount of time within their working hours for their own further academic qualification. What we are looking for PhD
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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brings together methodologists (from areas like statistics, computer science or formal demography) with population scientists in order to foster cross-pollination of ideas, to advance methods and theories
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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conferences Your qualifications: A Master’s degree (or equivalent) and a PhD in geophysics, physics, geosciences or a closely related field Experience in data assimilation and numerical simulations Knowledge