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. The position involves data analysis, model development, use of AI/ML tools for both understanding the mechanisms governing long-term performance of polymers and composites and translating findings into practical
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fungal networks. The project is funded by a joint NIH/NSF program at the interface of mathematical and biological sciences. Job description: Lead the design, conduct, and analysis of laboratory experiments
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
in which individuals are enrolled into prospective observational or intervention studies that seek to better understand and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr
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linear models, network analysis, etc.) experience with culturing microorganisms (fungi and/or bacteria) experience with R and/or other programming languages familiarity with bioinformatics and modeling
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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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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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basis of cognition across multiple levels of analysis. The successful candidate (m,f,x) will join a vibrant and collaborative team with access to excellent infrastructure, including the university’s new
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socio-hydrosystems, from stormwater networks and surface waters to wastewater treatment plants and receiving environments. The project relies on innovative high-resolution mass spectrometry (HRMS)-based
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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the intent to diversify the scientific research community. For this reason, we strive to contribute to a non-linear career path with the aim to expand your technical expertise and network for a succcessful (re