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Number BAP-2025-604 Is the Job related to staff position within a Research Infrastructure? No Offer Description This doctoral research is part of a broader research project (EPCAP 3.0), which evaluates
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, basic in vitro experiments, basic analytical analyses, basic laboratory skills, basic data analyses & statistics. You must have solid knowledge of immunology, oncology, and/or cancer biology. Practical
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and Computer Engineering with specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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. Develop an international network: Gain invaluable insights through collaborations with renowned international academics. Become a member of the scientific community: Attend and contribute to regional and
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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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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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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health science field. A strong interest in allergy, immunology, military medicine, or clinical diagnostics. Experience with clinical research, statistics, or patient-centered data collection is a plus. The
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. The candidate should have a strong interest in biostatistics and genetics. Essential: Master’s Degree in biochemistry, biomedical sciences, bioinformatics, (bio)statistics, bioengineering, computer science