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particular to separate natural variations and technical noise Expertise with geomagnetic activity indices, in particular Kp and Hpo Programming skills in Matlab and Python Very good command of English (spoken
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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. To present their work at seminars and at external meetings. To contribute to the Donders scientific community through collaborations, workshops and talks. Where to apply Website https
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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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Barcelona (Spain), Pompeu Fabra University (UPF), Ciutadella Campus, Department of Economics and Business. The work is to be carried at the campus. About UPF: https://www.upf.edu/web/universitat/ About the
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount
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researcher will be required with the following competences: ▪The ability to undertake independent research ▪Experience of data analysis in Python, MATLAB or another environment ▪European accreditation to work
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Contribute to scientific publications and technical reports Support preparation of research proposals Where to apply Website https://vacancies.phaethon-coe.eu/PHAETHON_R1_Researchers_V012_17042026 Requirements