58 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at Forschungszentrum Jülich
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website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed FIXED-TERM: The position is limited to 3 years In addition to exciting tasks and a collegial working
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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of the PDF download): 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
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for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs The project has a duration until June 2029 and therefore the position is initially limited until 30.06.2029. Further information
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opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs HEALTH & WELL-BEING: Your health is important to us. You can look forward to a comprehensive company health management
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR
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work with: ENVIRONMENT: World class science environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems TEAM
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, materials science and/or process engineering systems is an advantage Knowledge of relevant programming languages for data processing/evaluation, especially Python/ Matplotlib, is an advantage Independent
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various branch offices) is available at https://www.fz-juelich.de/en/careers/phd Place of employment: Erlangen We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender