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of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks - Documented several years of experience in systems development with Python and
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research groups specializing in various aspects of cell biology, infection biology, immunology, and microbiology. The appointment is linked to the SciLifeLab program (see below), meaning that basic financing
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, the following are required: – Documented several years of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks – Documented several
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research groups specializing in various aspects of cell biology, infection biology, immunology, and microbiology. The appointment is linked to the SciLifeLab program (see below), meaning that basic financing
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, immunology, and microbiology. The appointment is linked to the SciLifeLab program (see below), meaning that basic financing is in place of SEK 15 million total over six years. The position is affiliated with
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of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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community of Digital Research Engineers. The offices also host computer infrastructure and machine learning/data science/research data management experts, who develop, build, and manage the local and national
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models