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of cardiovascular specialty and subspecialty areas. The UWMC CV APP Fellowship is an intense, highly structured, comprehensive program through which newly licensed APPs will acquire in depth cardiovascular knowledge
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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projects Knowledge of clinical research structures Experience of interpreting microbiological information for clinical care (culture and sensitivities, serology, point of care tests, etc.) Experience
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for the assessment of the collagen content and structure of the human cervix to improve prediction of spontaneous premature birth. You will participate in pilot studies to determine its potential
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of modular floating structures. Optimize designs for dynamic environmental conditions (e.g., waves, tides, currents). Finite Element and Structural Modeling: Develop and implement finite element models
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the structural and functional consequences of the R181C mutation in the μ-opioid receptor. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294598/phd-research-fellow-in
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of the universe and the formation of cosmic structures by measuring the redshift of millions of galaxies out to 10 billion years into the past shining light on dark matter, dark energy and allow us to test
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availability. Minimum Position Qualifications Candidates should have a Ph.D. with a background in geophysics, structural geology, engineering seismology or a related discipline within 2.5 months after the start
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wide range of direct clinical services. Training Philosophy and Structure The training program is progressive and developmental in nature, with the goal of aiding Fellows in forming fuller professional
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 6 days ago
simulations with data-driven machine learning approaches. By incorporating PINNs and vPINNs, the aim is to create robust numerical tools capable of simulating and predicting structural phenomena under different