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Context and PhD objectives Conventional optical microscopy techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their
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meetings For further information, please contact Assoc. Prof. Carole Linster (email address: ). Your profile PhD degree in molecular biology, cell biology, biochemistry, genetics, or another similar life
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
a Lymphoid Organ-Chip to evaluate mRNA vaccine boosting. Journal of Experimental Medicine 221(10):e20240289. Qualifications: We are looking for a skilled and highly motivated candidate with: a PhD in
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
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Provide support in grant writing Perform other tasks within the framework of this position For further information, please contact Prof. Paul Wilmes: E-mail: Telephone: (+352) 46 66 44 6188 Your profile PhD
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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. • Strong organizational skills, project management capabilities, and team spirit. • Flexibility and proactivity in a startup environment. Education • PhD (preferred) in physics, materials science