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running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including statistics and visualization, as
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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of pancreatic slices cultures, develop approaches for their cryopreservation, and distribution. The researcher will also run single-cell genomic and spatial transcriptomic assays on pancreatic tissue. The project
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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, or professional values, please visit: https://liu.se/en/research/cantu-lab and https://www.scilifelab.se/researchers/claudio-cantu/ The employment The position is a full-time, fixed-term appointment for three
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candidate will be part of the dynamic SciLifeLab community, both locally in Uppsala and across Sweden as a whole. For information on the SciLifeLab Fellow programme, see https://www.scilifelab.se/contact
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Camuñas Soler, [email protected] Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/en/work-at-the-university-of-gothenburg/how-to-apply-for-a-position
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Tryggers Stiftelse and the terms of the scholarship are regulated by the foundation (https://www.carltryggersstiftelse.se/this-is-the-carl-trygger-foundation/). The scholarship is for full-time postdoctoral