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mathematics with very good grades. Basic technical understanding and the ability to work independently in a small team. A strong understanding of fluid dynamic and thermodynamic processes. Desirable: basic
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operating an orbital propellant depot. Requirements: A completed scientific university degree (Master’s or equivalent) in engineering, physics, or technical mathematics with very good grades. Basic technical
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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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an equivalent degree from a University of Applied Sciences) in information technology (e.g. computer science, business informatics), mathematics or another comparable and relevant discipline Strong experience in
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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
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The Faculty of Mathematics and Computer Science at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) with tenure track (grade
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, academic education, and innovation. KIT is one of the German Universities of Excellence. Division V – Physics and Mathematics, Institute for Astroparticle Physics (IAP), KIT Department of Physics invites
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Founded in 2018, the European Center for Angioscience (ECAS) at the Medical Faculty Mannheim of Heidelberg University has expanded substantially in recent years to become globally one of the strongest critical mass hotspots in the field of vascular research (see: www.angioscience.de ). We...
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HI-TAC seeks Research Group Leaders in the field of AngioCardioScience Team: HI-TAC The Helmholtz Institute for Translational AngioCardioScience (HI‑TAC) is a branch of the Max Delbrück Center on the campus of Heidelberg University. The Max Delbrück Center and the Mannheim and Heidelberg Medical...
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oceanography, general climate science, mathematics, physics or marine data science Experience in seagoing observational physical oceanography Experience in analyzing observational data Publications in the fields