1,117 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions in Germany
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the option of an unlimited contract afterwards. Qualifications and experience Required A scientific degree in computer science, computational science, engineering, physics, mathematics, or multiple years
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Job Offer from February 12, 2026 The Fritz Haber Institute of the Max Planck Society for the Advancement of Science is one of the most internationally renowned research institutes. More than 400
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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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to the Department of Mathematics in the TUM School of Computation, Information and Technology. Responsibilities The responsibilities include research and teaching as well as the promotion of early-career scientists
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integrative way. The Excellence Professorships program is intended to promote Schleswig-Holstein as a center of excellence in the applied life sciences, particularly in medical research. Building thematic
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confidently differentiate by channel, format, and audience, and skillfully adapt your style for specialist audiences, media representatives, and the general public. You write national and international press
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, innovative and international teams. You will receive extensive support in building your professional network, personal development and career planning. For legal reasons, the specific duration of each
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the laboratory Electromagnetic simulation of circuits, antennas, filters, and related structures Programming by means of MATLAB, Python, C What you contribute Full-time student of electrical engineering or a
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for third- party funding YOUR PROFILE Requirements Completed scientific university studies, in particular in the subject economics, computer science, industrial engineering, business administration, or
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts