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. Teaching: Prepare and deliver lectures; develop new workshop material using innovative and inclusive teaching methods; engage and support student learning through consultation and feedback; and incorporate
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and program-wide seminars and journal clubs. They will have opportunities to drive undergraduate and graduate students and to teach new skills to technicians and other members of the research group
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Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely related subject, or be close to
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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. About you We welcome applications from candidates who have: A PhD in Psychology, Neuroscience or Genetics; or related discipline Extensive experience in epi-/genetic data analysis (polygenic risk scores
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be
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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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loci and candidate genes), working alongside two other Research Fellows specialising in agronomy and remote sensing. The project team also includes eight academic staff, three PhD students, and expert