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to staff position 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
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Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on
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rodent (rat/mouse) models. The Research Fellow will work closely with a multidisciplinary team to design, build, and test sensor systems for recording neural and physiological signals. Responsibilities
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through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles
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datasets. Design, implement, and maintain robust, reproducible bioinformatics pipelines across Illumina, Nanopore, and 10x Genomics platforms. Perform advanced downstream analyses including functional
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may include—but are not limited to—AI-based grid operation and planning, reinforcement learning for distributed system coordination, electricity market design, pricing mechanisms for reliability and
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
protocols and in manuscript preparation. Design and perform research protocols independently or as directed through training in more difficult or specialized procedures to meet the needs of the research
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and computational modeling of water and sediment systems. Experience designing and conducting laboratory and field experiments. Experience with federally funded or multi-institutional research projects
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for lifelong learning The Department of Art, Design and Drama has a vacant three‑year temporary position as a PhD Fellow in the field of storytelling for a grounded green transition. The fellow will develop and
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses