13 condition-monitoring-machine-learning Postdoctoral positions at SciLifeLab in Sweden
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and offers safe, favorable working conditions? We welcome you to apply for a postdoctoral position at Uppsala University. The research at the Department of Medical Biochemistry and Microbiology (IMBIM
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and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both
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sequencing, and with computer scientists at KTH in Stockholm, focused on developing scalable probabilistic machine learning techniques for online phylogenomic analysis and placement of DNA barcodes. You will
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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experience with machine learning techniques in general and neural networks in particular will be highly beneficial.
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and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research
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amplification. The applicant will also apply and adapt these methods to various environmental samples and conditions, with special focus on consumer food products. Importantly, the successful applicant will be
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context
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six-month probationary period. Other information Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information