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. Hiermit bringen Sie sich ein Academic qualification: You hold a completed university degree (Master’s or Diploma) in electrical engineering, computer science, physics, or a comparable technical or natural
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 2 months ago
modern, structured doctoral program in English with a tailored curriculum . Fully funded positions plus additional funding for scientific meetings and trainings (no tuition fees). Individual supervision
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from
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12.02.2026 Application deadline : 15.03.2026 We invite applications for a PhD position in the Hydrogeology workgroup at the University of Tübingen, Germany, to work on a joint project with Helmut Schmidt University Hamburg that has recently been funded by the German Research Council (DFG). The...
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the course of your doctoral program Our requirements Solid basic knowledge of cell culture as well as isolation of human primary cells Interest and experience in working with bioreactors, especially organ-on-a
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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