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PhD Position Reorganisation mechanisms in nano-structured silicon carbide TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences
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resolution. This contract is for a duration of four years, starting in November 2025. Your Tasks Use advanced experimental techniques to investigate astrocyte–neuron interactions in the spinal dorsal horn
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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Chemical Engineering and demonstrate a proven track record of applying CFD methodologies to complex biological or medical systems. Essential Duties and Responsibilities: Lead and execute advanced CFD
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for a Postdoctoral Associate to work with faculty. Provide research support for multi-scale epidemic models of HIV and respiratory infections (particularly SARS-CoV2). Support includes, but not limited
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. This postdoctoral opportunity is co-funded through the NIH-funded KURe (K12 Urologic Research Career Development) Program, which provides structured career development, interdisciplinary mentorship, and additional
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improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes that are important in transcription, nucleoid associated
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strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale