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Association. ZPID is undergoing a strategic extension process aimed at becoming a one-stop, full-service provider supporting the entire spectrum of needs expressed by researchers and psychology professionals
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, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, or age. Disabled persons will be preferentially considered in case of equal qualification. Presentation costs
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with data protection regulations after the hiring process has been completed. Please note the KU’s privacy policy for the application process. Corresponding information can be downloaded from the KU
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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the Department of Physical Oceanography for a period of 24 months and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in accordance with the Tarifvertrag für den
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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) for the application of THz fields in ultrafast electron diffraction (UED) in the Department of Physical Chemistry of Prof. Martin Wolf. The successful candidate will join our ultrafast electron diffraction team in
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. Qualified disabled applicants will receive preference in the application process. Please send your application (certificates, curriculum vitae, letter of motivation, list of publications, two letters
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Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
and conceptualization of follow-up projects Your Profile: An above-average PhD degree, ideally in the field of energy system modeling, as well as a university degree in engineering, physics or a