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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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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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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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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 and educational
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with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Selection procedure As the first step in the evaluation process, a Selection Committee
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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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the application. General information Interviews and trial lecture will be used in the selection process. The best qualified candidates will invited for interviews. Applicant lists can be published in accordance
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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/english
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facilitator across disciplines and cultures. Organized, analytical, and quality‑focused; clear documentation habits; inclusive mindset. Personal suitability will be emphasized in the recruitment process. Jarli