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programming, parallel computing, and bioinformatic and statistical genetic software packages. Experience in working with genomic and proteomic data available for large extended pedigrees. License
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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evolution under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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, respectively. To this end, we will perform cutting-edge proteomics analyses on post-mortem human retinal tissues and use bioinformatics and deep learning tools to integrate it with complementary omics datasets
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Engineering, M.Sc. in Biochemistry and Biotechnology, M.Sc. in Biomedical Sciences, M.Sc. in Molecular Life Sciences, M.Sc. in Bioinformatics, M. Sc. in Pharmaceutical Sciences, …) Occupancy rate 100% Vacancy
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process of obtaining) a master’s degree (or equivalent degree) or a baccalaureate degree in biology, immunology, bioinformatics, computer science, data science, computational biology, or a related
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of the major hubs for the national infrastructure SciLifeLab , which offers expertise and advanced technology platforms in the life sciences and bioinformatics. The department has its own computing cluster and
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are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab is scaling up its computational biology and data