53 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions at Forschungszentrum Jülich
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): https://go.fzj.de/JuDocs SUCCESSFUL START: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and
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for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Depending on your qualifications and assigned responsibilities, you will be classified according to pay group 13 (75
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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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knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping
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scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026D-001 Requirements Additional Information Website for additional job details https
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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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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, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026D-010 Requirements Additional Information
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Days and Welcome Guide: https://go.fzj.de/welcome KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and
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PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties. For further information visit our website http://www.fz-juelich.de/ibg/ibg