69 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions at Forschungszentrum Jülich
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for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our International
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processing and inversion techniques to experimental data from different regions and link the findings to relevant processes of the soil-plant system. For further information visit our website http://www.fz
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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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and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments, numerical methods, or machine learning approaches is an advantage. Fluent command
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agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed FIXED TERM: The employment of doctoral students in Jülich is governed by a doctoral
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(pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed FIXED TERM: The employment of doctoral students in Jülich is governed by a doctoral contract, which usually has a term of
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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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Experience and interest in computer programming Pronounced organizational and communication skills Self-organized and independent work style Motivation to cooperate in interdisciplinary teams Very good written
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, prototyping, programming (device communication, databases) Experience in the following areas is also a bonus: electrocatalysis, rheology, coating technology, machine learning Intrinsic motivation to show
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-weighted and functional MRI, intracranial EEG) Multi-scale modelling of human brain development Using machine learning frameworks to interrogate the relationship between brain development and cognitive