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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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of a doctorate, contains: Are you eager to improve pandemic preparedness through data-driven research? Do you want to work on real-world implementation of AI and epidemiological models in healthcare
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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics and Data Science to support real-world problems? Do you want to contribute to early
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). To make sense of the wealth of information in these large data sets, we will deploy advanced cancer genomics workflows in the secure and scalable UZ Leuven Genomics Core cloud and report insights
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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17 Oct 2025 Job Information Organisation/Company IMEC Research Field All Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 15 Dec 2025 - 23
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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representations from massive amounts of raw data, typically using large-scale models that incorporate only minimal prior domain knowledge. Such representations can support a wide range of downstream tasks. However