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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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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics to support real-world problems? Do you have a broad interest in health policy analyses
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the association between life course transitions and spatial mobility in migrant populations at the individual and household levels. In keeping with individual-based modelling in biostatistics, hazard models of
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
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Calders, co-supervised by dr. Niall Origo. Throughout this project you will also closely collaborate with prof. John Armston (University of Maryland). Job profile MSc degree (or equivalent) in a relevant
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. Louise Terryn. Job profile MSc degree (or equivalent) in a relevant field (Bio-Engineering, Forestry, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science A passion for