149 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Forschungszentrum Jülich in Germany
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thesis will be appropriately remunerated by us In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with
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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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scientific organisation. Where to apply Website https://recruiting.fz-juelich.de/jobposting/61539e3cfcae4675ddacb6ee34238e8ddc0… Requirements Additional Information Website for additional job details https
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Experience with, or strong motivation to learn, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in
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and collaboration skills Fluent in English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during
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research, field campaigns and data analysis Very good experimental skills; experience in mass spectrometry and/or aerosol measurements is an advantage Experience with, or strong motivation to learn
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our International Advisory Service The position is for a fixed term of 3 years, with possible long
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of slightly reduced working hours ( https://go.fzj.de/near-full-time ) The opportunity to work to some extend from home or another location within reasonable limits and in consultation with the supervisor 30