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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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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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to Reason (Inactive), Analytical Thinking, Big Data Processing, Bioinformatics, Communication, Complex Data Analysis, Data Management, Group Problem Solving, Laboratory Processes, Probabilistic Modeling
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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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research and practice, including artificial intelligence, big data, bioinformatics and computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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experience Starting research package of EUR 30,000 Applicants will be encouraged to apply for complementary external funding (e.g., MSCA or EMBO fellowships) in parallel to/following their recruitment process
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). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative