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Based on the overall project‘s objectives, you will develop a doctoral proposal, which specifies research questions, methodological approaches, courses you want to take, and a time plan. With support from
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. Profile You hold a Master's degree in a relevant field such as data science, computer science, physics, computational biology, or biomedical research. You are proficient in Python programming, with
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-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Workplace Workplace We offer Access to cutting-edge
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environment. Project background We developed the Design++ postdoctoral fellowship program to provide an opportunity for talented researchers who are interested in bringing promising technologies and solutions
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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energy applications. The ideal candidate will bring expertise in database management, Linux/Unix systems, and provide support with scientific programming, and CI/CD pipelines. We welcome applicants with a
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. radiomics) in image processing and in programming (Python, C, Matlab etc.) Fluent in English, German is beneficial Our offer We offer an international, highly stimulating research environment with excellent
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characterization in the context of mammalian cell line experiments Protein design and engineering Protein biochemistry and structural biology Cellular proteostasis Bioinformatics, statistics, and programming
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Familiarity with diverse imaging modalities (lightsheet microscopy, CT, ultrasound) is highly desirable Strong programming skills and experience with collaborative software development (e.g., Git) Excellent
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics