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for the project implementation. Collaborations among team members will be actively encouraged. The precise scope of the research project of the PhD student will be decided between the appointee and the PI after
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actively encouraged. The precise scope of the research project of the PhD student will be decided between the appointee and the PI after the candidate has been appointed. The appointee should have
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Job position PhD studentship in Deep-marine Sedimentology and Stratigraphy Job position requirements (skills
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Technology platform. Benefits 25.150,44 € Eligibility criteria: The candidate must hold a PhD in Electric and Electronic Engineering discipline Academic record: 50 Specialty doctorate 50, generic doctorate 20
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actively encouraged. The precise scope of the research project of the PhD student will be decided between the appointee and the PI after the candidate has been appointed. The appointee should have
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revolution in the Medieval Western Mediterranean (6th-16th centuries). Tasks: • Participation in project’S archaeological excavations Job position requirements (skills/languages/required experience) • PhD
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Research position at the Department of Physics of Universitat Autònoma de Barcelona (2024DILIFRUA66)
of Universitat Autònoma de Barcelona Job position requirements (skills/languages/required experience) PhD in either Materials Science, Physics, Chemistry, or similar, previous experience in the research area of
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requirements (skills/languages/required experience) - Higher university degree, university degree or official university master's degree It will be assessed: Bachelor's Degree in Computer Engineering - Mastery
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Science and Technology Academic record - 15 Doctorate of the speciality 15, Generic doctorate 5 Languages - 5 English B2 5 Experience - 30 WRF-Chem, Biogenic emission models (VPRM, BIOME-BGC, Orchidee
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experience) Proved knowledge in quantum sciences, english, bachelor in physics, mathematics, engineering or similar. Learning research skills, collaborate with companies of machine learning 9h/ week, 8 months