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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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on the defense of the doctoral dissertation being approved. Proven experience with laboratory procedures and bioinformatic analysis of metabarcoding data. Excellent communication skills (including written and
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Computational Biology, Bioinformatics, Data Science, or related field. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public
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Computational Biology, Bioinformatics, Data Science, or related field. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public
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incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want
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researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in
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of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems
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for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi/english/research/groups/dsb/index.html) as part of Visual Intelligence (http://visual
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for explainability in the application domains of the project. Contribute to the development of novel solutions for the data orchestration and data management process to improve explainable and responsible ML solutions
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at the Department of Informatics. Position as Postdoctoral Research Fellow available at the Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi