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planetary science, remote sensing, or lunar/space data analysis. Proficiency in machine learning (supervised/unsupervised learning, neural networks, etc.). Strong skills in data processing (Python, R
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, including appropriate qualifications and language level. Evaluation will follow the official criteria (academic record, professional experience, training, publications, and interview). Selection process Merit
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EXPERIENCE, up to 3 points: OTHER MERITS, up to 1 point INTERVIEW, 3 points Selection process After reviewing the merits of the CVs, candidates will be invited for an in-person interview with the selection
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Engineering) LanguagesENGLISHLevelGood Research FieldEngineering Additional Information Benefits Salary 2010 euros/month before taxes Selection process Merits and interview Additional comments For more
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excellent (honours-level) results in prior studies. Candidates must be fluent in spoken and written English. Selection process Merits and interview Work Location(s) Number of offers available1Company
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Riego, 4; Edificio Histórico Postal Code 33003 E-Mail convocatorias.inves@uniovi.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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Street Plaza de Riego, 4; Edificio Histórico Postal Code 33003 E-Mail convocatorias.inves@uniovi.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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Website http://www.uniovi.es Street Plaza de Riego, 4; Edificio Histórico Postal Code 33003 E-Mail convocatorias.inves@uniovi.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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Riego, 4; Edificio Histórico Postal Code 33003 E-Mail convocatorias.inves@uniovi.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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33003 E-Mail convocatorias.inves@uniovi.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail