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environmental NCD risk score using statistical and ML methods. Prospective phase: Use wearable environmental and physiological sensors to track exposures and health parameters in healthy volunteers, translating
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test the BEE server, a GDPR-compliant, pseudonymized platform for secure geocoding and linkage of environmental and health datasets. Statistical modelling in R: Using advanced statistical packages
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analytical thinking sufficient foundation in statistics and quantitative skills strong written communication skills experience with health economics and HTA is an advantage (but not a requirement) Fluency in
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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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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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, (bio)statistics, bioengineering, computer science, related disciplines or equivalent through experience Proficient in verbal and written English. Ability to summarize data extracted from literature and
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using different statistical/programming tools. Are fluent in English, both verbal and written. Can work autonomously but you are also a good team player. Have a proactive attitude and great writing skills
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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
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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