920 developer-"https:"-"https:"-"https:"-"IRIBHM-ULB" Postdoctoral positions in United States
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Field
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: Independently plan, design, and execute biomedical research experiments related to hemostasis, thrombosis, inflammation, and cardiovascular diseases. Prepare high-quality abstracts, manuscripts for publication
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and
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support the development of advanced diagnostic and therapeutic strategies in cardiovascular medicine. PRIMARY DUTIES • Design and conduct benchtop experiments to simulate physiological cardiac
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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to communicate, prepare proposals to include cost information on spread sheets as applicable and provide reports of activities Ability to effectively communicate with faculty, students and staff
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, and rural health. The Postdoctoral Scholar will have opportunities to collect data, manage and analyze large datasets, prepare manuscripts (as first or co-author), prepare conference abstracts, and will
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policy, health equity, and young adult and rural health. The Postdoctoral Scholar will have opportunities to collect data, manage and analyze large datasets, prepare manuscripts (as first or co-author
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The Postdoctoral Research Associate will conduct advanced research in salinity gradient (“blue energy”) harvesting and vibration-based energy harvesting, focusing on developing next-generation self-powered sensing
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in