157 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Forschungszentrum Jülich
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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sound understanding of data evaluation Prior experience with single-cell data analysis, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently
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environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people of diverse backgrounds, in terms of age, gender, disability, sexual orientation/identity as
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-time ( https://go.fzj.de/near-full-time ), allow you to customize your working hours. VACATION: You will receive 30 days of holiday plus free bridge days (e.g., between Christmas and New Year). FAIR
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! This job offer is closely linked to a related opening at IET-3 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-362 Please feel free to apply
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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of the work Your Profile: Master student in biology, biotechnology or related field Interest in cloning, microbial cultivations and genetic engineering Willingness to learn new methods and engage with subject