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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
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host institution. The successful candidate must fulfil the admission requirements of the respective doctoral programme and will be enrolled in a doctoral programme during the project. • Mobility - you
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arrangements may be used if mobility becomes infeasible. Eligibility criteria The successful candidate will help connect the Digital Health Living Lab, pilot sites and the joint PPU–KU Leuven research programme
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expertise in cell and molecular biology, assay development, and therapeutic screening. The successful candidate will be responsible for driving ASO therapeutic development projects, including candidate design
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aspects of this programme, developing and applying genome-scale mathematical models to understand red blood cell maturation and predict how engineered biological circuits interact with endogenous cellular
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generate biological insight. This work will include in vivo studies using mouse models along with cell- and molecular-based assays. Prior animal research experience is preferred but not required; however
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focus on influenza virus infection and coinfections with other viruses. This hire will use cell culture experiments and mouse models of influenza infection and coinfection, together with immunological and
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Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Code PHYSIOLOGY (06240A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Dr. Oakes, Associate Professor in the Department of Cell & Molecular Physiology at Loyola University
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Oncology, Cancer & Blood Diseases Institute - Cell & Immune Therapy – Physician-Scientist - JR214185
, single-cell technologies, genome engineering, proteomics, computational biology, human biospecimens, and preclinical disease models. The successful candidate will join a highly collaborative community