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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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dissertation being approved. Proven experience with laboratory procedures and bioinformatic analysis of metabarcoding data. Excellent communication skills (including written and spoken English). Desired
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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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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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knockout mutants. Using infection assays, you will establish the importance of these adhesins in different stages of the infection process and identify host cell receptors. The work is in close collaboration
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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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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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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 packages. Qualifications The Faculty