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“Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. The position is placed at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum
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) conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface
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benchmarking datasets will be released through an open-source library. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency
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, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation
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the Collaborative Studentship application form available online here: https://forms.office.com/e/HPK05i0fJ0 . Applicants will be required to upload an anonymised CV, anonymised cover letter, and transcripts as part