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Field
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technology and optimization. Opportunity of participating in (international) conferences and project meetings. Participation in overarching seminars including certificate. The skills that you will acquire
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at international conferences Contribution to the education of students and thus support of our educational mission. Requirements: Above average Master’s degree in engineering, applied mathematics, physics
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(university diploma or master's degree) in the field of geosciences, engineering or physics. Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab
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-known European partners from research and globally leading industry partners for wind energy. Through MiRadOr, you will be at the forefront of developing knowledge and technology to help accelerate
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The three universities Hamburg University of Technology , University of Bremen and Carl-von-Ossietzky-University of Oldenburg work jointly in CAUSE. While you, as the future job holder, work full-time
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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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: Master’s degree or equivalent in Neuroscience, Biology, Biomedical engineering, Life sciences, or a related field Experience with electrophysiological recording or neuroimaging would be beneficial
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disciplines ranging from interface and macromolecular chemistry to drug delivery and cancer therapy technology and seeks to make significant contributions to both fundamental science and practical applications
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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or medical engineering Language requirements A very good command of English is mandatory, as English is the working language. A language test certificate is not required, but it is strongly recommended