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studies in mathematics or computer science Experience in the field of: numerical discretization and/or iterative solvers Ability to work in a team, creativity, motivation Very good knowledge of German or
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in order to strengthen cooperation between Ukrainian and German universities and to give young Ukrainian scientists access to research infrastructures in Germany. The aim of the programme is to support
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research, medical technology development, and clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling
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Arnimallee 22 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your
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combinable with scientific research (up to 20% of the work hours). Requirements for employment are a completed Master or PhD degree in a relevant field (computational / theoretical linguistics, cognitive
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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should not exceed nine years). A provable highly positive trajectory in the applicant’s academic career to date, with an equally positive prognosis Experience in research management; experience in securing
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microservices for industrial manufacturing applications What you contribute You are studying Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g