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for We are seeking a motivated computational biologist with a passion for cancer genomics and a drive to tackle complex biological questions. Essential: PhD (or studying towards a PhD) in computational
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interpretation of complex data. Coordinate statistical work across teams, ensuring alignment between analytic strategies, study designs, and methodological objectives. Co-supervise PhD students working
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outputsDisseminate results through scientific publications in top AI tier-venuesProvide guidance to PhD and MSc studentsContribute to teaching and advanced seminarsDesign and executing large-scale experimental
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disease. Key responsibilities Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through
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Postdoctoral Researcher, you will: Supervise and coordinate the project across multiple work packages (VR, ESM, EMI, qualitative research). Co-supervise PhD students and research assistants working
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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and Experimentation: Proficiency with modern ML frameworks (e.g., PyTorch), simulation environments, and reproducible experimentation pipelines for autonomous driving or robotics Your profile PhD in
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scientific publications on these techniques and their applications. WHAT WE ARE LOOKING FOR THE IDEAL CANDIDATE You have a PhD degree in Bioscience Engineering, chemical engineering, Statistical Data Analysis
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study