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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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are particularly interested in candidates with a strong background in advanced imaging, quantitative image analysis, and/or tissue morphogenesis and mechanics. If you are excited by the prospect of tackling
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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that control the transport of biogenic particles to the ocean floor under changing climate conditions, (ii) balance the transfer of carbon and other elements between the ocean floor and seawater, (iii
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, messy, heterogeneous healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * Prior experience with AI in healthcare settings. * Prior
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acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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: examples include work on food analysis, product formulation, microbial food, and culinary sciences. Bioreactor design, bioprocess engineering, downstream processing applied to future food. Artificial
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eligible for basic clinical medical physics training and a tuition fee waiver to enroll in a certificate program with CAMPEP-accredited courses, which covers medical physics didactic elements for people who