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Instructions Application through http://jobbnorge.no : https://www.jobbnorge.no/en/available-jobs/job/302170/up-to-5-phd-fellows-in-machine-learning-at-the-arctic-institute-for-ai-in-science-and-innovation
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, and/or machine learning approaches for prediction and causal inference—to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who
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structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and
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focus on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
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discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate scientific discovery with
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intersection of robotics, control engineering, machine learning, and neuro-inspired computing, while collaborating closely with academic partners and researchers across disciplines in Denmark as well
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fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See advertisement About the positions
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learning and statistics Apply for this job See advertisement About the position We invite applications for a three-year PhD Research Fellowship in probabilistic machine learning and statistics at the
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open