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The Elon 1010 Fellow appointed to this temporary, 10-month position, will primarily assist with aspects of the Elon 1010 program related to academic advising/success coaching, peer education, and program assessment within the Koenigsberger Learning Center.
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Research opportunities include existing behavioral and neuroimaging data on mechanisms of behavior change in alcohol and other substance use, a large longitudinal neuroimaging dataset in the area of adolescent substance use, multimodal neuroimaging datasets of psychosis spectrum disorders, and imaging data of various tasks with healthy volunteers.
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Required: Ph. D. in an area of the biomedical sciences (biomedical engineering, biology, molecular biology, biochemistry, or zoology) or a closely related field.
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We are actively seeking a highly motivated postdoctoral fellow with an interest in the molecular mechanisms of developmental biology and physiology, aiming to innovate therapeutic approaches for type 1/type 2 diabetes and related disorders, such as neurodegenerative diseases and cancer.
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The fellow will utilize the lab’s equipment such as wet cleaning system, freezer, anoxic system, dye machine, portable xrf, stereo and polarized light microscopes, multiband imaging system and fiber optics reflectance spectroscopy (FORS.
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The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity.
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We are seeking a highly motivated candidate, interested in statistical cancer genomics, for a position as a postdoctoral fellow. Memorial Sloan Kettering Cancer Center (MSK) is one of the world's premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs.
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Ph. D. or Postdoctoral Fellow in a quantitative field with research experience in building/applying causal machine learning models. Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report.
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Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant applications and manuscripts for scientific publications, and supervise graduate students.
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The Bullman Laboratory is recruiting a highly motivated Postdoctoral Fellow with expertise in microbial genomics and transcriptomics, cell biology, or preclinical cancer models to join our tumor microbiome efforts.
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The Technical Fellow will be responsible for broadly advising the Data Science team on project scope and technical direction, as well as applying their skills to personal projects. Drill safer, smarter and faster with Patterson-UTI Drilling's comprehensive fleet of pad-capable rigs featuring advanced walking systems to enhance your operations so you can reach your apex.
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Postdoctoral Fellow - Lehigh University. Postdoctoral Fellow - Lehigh University. Opportunities for collaboration include the Foundations and Applications of Mathematical Optimization and Data Science (MODS ( ) group at Lehigh University and the Collaboration on the Mathematical Foundations of Deep Learning (THEORINET ( ) at The Johns Hopkins University and The University of Pennsylvania, among other institutions.
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Teaching Fellow will assist Instructors and ensure that grades are posted to the learning management system in a timely manner. Teaching Fellow and Instructors will answer student questions and provide guidance during labs and projects.
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Postdoctoral Fellow - Cluster Hire. An overarching effort for two to three postdocs is the development and application of a hydro-meteorological prediction testbed supporting the modeling framework (Nextgen) that is being developed for the US National Water Model (NWM), along with related technical capabilities and extensions in data assimilation (particularly using snow datasets), ensemble streamflow prediction, and heterogeneous land/hydrology modeling (including machine learning based models.
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Title: fellow
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