555 master-"https:"-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Nature Careers
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(Frederiksborgvej 399, Roskilde) and the project team is distributed across both campuses. The position will involve working at both campuses as required by the project. The preferred main place of work for the
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into genebank operations Experience with appropriate statistical analysis, especially generalized linear modelling Who we are At the Department of Agroecology, our main goal is to contribute to sustainable
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part of your personality: Completed Master's degree or Diploma in the field of law University studies completed with good success, particularly in the field of civil procedure, proven by results
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activities to promote SnT's research and citizen science initiatives Your profile... A Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related fieldA strong background in
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Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including
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educational levels (primary, lower secondary, upper secondary, and tertiary education). Continuous engagement with current research developments, further didactic training and the assumption of research tasks
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and/or nanofabrication being a plus. Who we are The Department of Physics and Astronomy is a department on Natural Sciences. The main objectives of the Department are to carry out research
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experience Basic Life Support (BLS) required. Licensure, Registration and/or Certification Required by Law: (LC: RN-TN) Must possess a current Tennessee State Board of Nursing license if primary residence is
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collaborations. This is part of your personality: Completed master's/diploma degree in law Excellent knowledge of labor and social law (demonstrated, for example, by a relevant seminar paper or diploma/master's
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approaches. Test and validate novel, sequencing-based approaches to data generation Synthesize and interpret molecular underpinnings from population-level, multi-modal data from primary samples. The ideal