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municipalities, R&D companies, and consultants. Your profile We seek candidates with the following qualifications: MSc degree in a relevant field such as Environmental Engineering, Chemical Engineering, Civil
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, Bioinformatics, Epidemiology, Biostatistics, Biomedical Sciences, or related disciplines; Strong background in statistical modeling, and/or machine learning (any experience in multimodal AI is an asset); Previous
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
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weather prediction using Machine Learning approach (hybrid forecast). The app is also expected to be equipped with seasonal forecast for agricultural planning. You will co-design the short-, medium-, and
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Physics , Living Systems , Machine Learning , many-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Material Science , Materials Science
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Ine-Therese Pedersen 15th August 2025 Languages English Norsk Bokmål English English PhD position in Deep Learning for Metocean Data Apply for this job See advertisement About us We are announcing a
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a very good MSc degree (or equivalent) in a social and behavioral science discipline (e.g., Psychology, Cognitive Sciences, Decision Sciences) or a computer science discipline (e.g., Computational
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on this project, and therefore, collaborative work between the two successful candidates is expected. The candidate is also expected to contribute to teaching for the MSc course in ornithology of the University
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to contribute to teaching for the MSc course in ornithology of the University Gaston Berger, in Senegal, by dedicating up to 2-weeks per year of their time. In addition, the candidate is expected to offer MSc
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articles. Co-supervise BSc and MSc student projects. Complete PhD thesis. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year