188 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in United States
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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. Participate in team meetings, presenting research findings and contributing to scientific discussions. Assist with the development and evaluation of global health interventions and community-based programs
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and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation
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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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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models
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or necessary maintenance. The RAs will be fully immersed in research and other enriching lab activities, receive mentorship from the PIs and support in developing their careers. Most RAs will stay for two years
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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate