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in mouse and zebrafish embryos design and perform large-scale in silico perturbation experiments, including motif ablation, virtual transcription factor knock-outs, and regulatory-element screening
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-design approaches to intervention development for women with both primary and metastatic breast cancer. This post doctorate post will involve supporting the LIAM Mc and the LYSA research teams in
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: • Conduct independent research under the mentorship of senior investigators, focusing on cancer cellular immunotherapy. (20%) • Design and execute experiments to investigate mechanisms of immune resistance in
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Activities (PEAs) and their outputs. In response, this project will develop strategies for making PEAs more visible in OS monitoring exercises, with an eye toward supporting greater recognition and reward
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focus research efforts on sequence comparison, virus evolution, study design, data management and analysis for different projects focused on swine disease control and prevention. Job Responsibilities No
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MRI fiber tractography and computational modeling to associate pathway activation patterns with sleep outcomes following clinically optimized DBS in PD patients. The Post-Doctoral Associate's research
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, oxidation, smelting with/without vacuum, alloy processing, and recycling studies (55%). • Perform process development, experimental design, materials characterization, and interpretation of metallurgical
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impacts. Design, implement, and evaluate research projects, including laboratory experiments and population-level analysis. Contribute to and/or author grant applications to support research work at TRC
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to mathematical foundations of machine learning. You will be part of the Computer Vision and Pattern Recognition Laboratory at the LUT School of Engineering Science. The lab includes approximately 15 researchers
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discussion and analysis. They will interact extensively with the PI, graduate and undergraduate students and other postdocs in the group. Job duties 35% experiment design and execution 35% research 30