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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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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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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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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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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in
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ecophysiology. You must have good statistical skills, experience with fieldwork, and programming experience (e.g., in R or Python). A good standard of written and spoken English as well as a driver’s license are
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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
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complete by fall 2025) a PhD in engineering, have a strong technical background, and be proficient in programming. We welcome applications from researchers fresh out of their PhD or with up to one year of
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mathematics, computational sciences, or a related field. Additionally, you have prior programming experience and are fluent in English (oral and written). You show enthusiasm for conducting original research in