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Field
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have: you will own the bacterial side of the project. You will work with our full infrastructure for vesicle assembly, synthesis and interaction analysis, with access to IBEC’s BSL-2 facilities, and in
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and Action 8 of the Future Framework for Offshore Renewable Energy and Action 26
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environment. The environment offers ample opportunities for collaboration and networking, not least through our very strong national and international research networks. Who we are looking for We are seeking
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoinsights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling
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computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday temporal resolution. Background in network science, statistical physics and complex
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university-wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine
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biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number of Hours
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications