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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative
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interactive environment. The candidate will join the Dutch-Flemish Postgraduate School ‘Experimental Psychopathology’ (http://epp-research.eu), which will provide additional training and facilitate networking
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education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker
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research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group Signal Processing Participate in international
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
performance. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10279 Requirements Skills/Qualifications Applicants should have: MSc degree in Robotics or a related discipline. Strong
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that provide direct optical access to spin-physics and offer a tunability approaching that of cold-atom simulators. The Quantum Opto-Electronics Group (QOEG; https://smolenski-lab.com ), led by Prof. Dr. Tomasz
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of July : https://www.iimcb.gov.pl/en/career-education/phd-education Where to apply Website https://warsaw4phd.eu/en/admissions/ Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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for the smooth running of the activities; viii) observes good conduct and the ethics of research, development and innovation activity. 3. Candidates must meet the following requirements: bachelor's and/or master's
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https