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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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be found on our lab website: https://www.derosierelab.com/ Salary and benefits: ~€2300 net per month for candidates with less than 2 years post-PhD experience; €2450+ net per month for candidates with
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Commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience Experience in life science or related disciplines. Required License
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of Engineering Science, in collaboration with Professor Rafael Perera-Salazar (Nuffield Department of Primary Care Health Sciences, University of Oxford). You should possess a relevant PhD (or near completion*) in
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funding and in supporting the development of new research directions at the department. Your competencies You hold a PhD degree in Electrical Engineering, Power Systems, Power Electronics or a closely
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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weeks of training in higher education teaching and learning. The work duties include: Research within the area of next-generation sequencing, bioinformatics and invertebrate visual ecology. The successful
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days ago
/Qualifications Technical skills and level required : mathematics, programming Languages : English Relational skills : good communication skills Specific Requirements The candidate must hold a PhD in machine
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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning