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these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and deployment of DPPs. The advertised PhD position focuses on developing ML-based and
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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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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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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/research/groups/dsb
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opportunities to investigate planning and optimization of sensor placement, human-robot interaction, operation in winter and arctic conditions, as well as use of communication nodes in addition to the sensor
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the genomes of ESKAPE strains and generate knockout mutants. Using infection assays, you will establish the importance of these adhesins in different stages of the infection process and identify host cell
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at the University of Oslo (UiO). The position is part of large interdisciplinary project which focuses on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells
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defense are eligible for appointment. Fluent oral and written communication skills in English Desired qualifications: Experience in dynamical analyses Familiarity with turbulence and nonlinear processes