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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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Research and Innovation Supporting Enterprise (TU-RISE) programme supports the building of research capacity in higher education institutions in the technological sector. Under the TU RISE programme, MTU
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for cancer patients and their families and play a critical role in strengthening the fabric of our communities by gaining and protecting their trust and providing access to the outstanding oncology care each
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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design. The position will primarily investigate G protein-coupled receptors (GPCRs) involved in cardiovascular and hormone signaling pathways using computational approaches such as molecular dynamics
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for analysing movement and behavioural data. Strong knowledge of statistical analysis, experimental design, and reproducible computational research. Experience with scientific Python libraries (NumPy, SciPy
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and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications
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Applicable Hours Per Week 38.0 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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directly with the project’s visiting scholars during their residencies at Panmure House. Responsibilities Common to all Three Posts Research delivery Design, plan and deliver the research programme for
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art