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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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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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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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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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cells, most notably immune cells. This project will investigate how cells coordinate these parallel nutrient scavenging approaches. The aim is to uncover the molecular mechanisms by which they talk
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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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biomaterials, including tuneable 2D and 3D culture systems, advanced microscopy, and polysome profiling, to study the impact of mechanical cues on ribosome function. In parallel, you will use bioinformatics
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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