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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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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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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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. The University may permit an exemption from the general entry requirements for an individual applicant, if there are special grounds (Chapter 7, § 39 of the Higher Education Ordinance). For special entry
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq