600 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD research jobs
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can be found at: https://archeo-muzeo.phil.muni.cz/en Contact person at the department for questions about the position: First name and surname: prof. Mgr. Jiří Macháček, Ph.D. E-mail: machacek
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in a research organization in 2021. Department Information about the Department of Archaeology and Museologyat the Faculty of Arts of MU can be found at: https://archeo-muzeo.phil.muni.cz/en Contact
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areas such as superconductivity, magnetism, and semiconductor physics, and are considered essential tools in high-field research. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228
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CNR - ISTP (Consiglio Nazionale delle Ricerche - Istituto per la Scienza e Tecnologia dei Plasmi) | Italy | 2 months ago
admitted to the interview will receive a notice at least 15 days before the interview. See link for details https://selezionionline.cnr.it/jconon/call-detail?callCode=332.1%20RIC%20ISTP Where to apply
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of Grants and Tax Credit linked to R&D…. She/He could also be involved in the writing of grants applications and the follow-up of their implementation. Where to apply Website https://www.abg.asso.fr/fr
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SupérieureCountryFranceCityParisPostal Code75014Street48 Boulevard JourdanGeofield Contact City Paris Website http://geopolitics-of-risk.ens.fr Street 48 Boulevard Jourdan Postal Code 75014 E-Mail jan.verlin@ens.psl.eu Phone 0695145091
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scientific organisation. Where to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3279/Description/2 Requirements Additional Information Website for additional job
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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for forest applications Good presentation skills, written and oral Qualifications that will be emphasized Experience from research in boreal forest ecosystems Programming skills Experience with machine