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A postdoctoral fellow position within the Dalton Cardiovascular Research Center at University of Missouri to study the role of super enhancers in coordinating intercellular and interorgan communications in cardiovascular disease.
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Their work has transformed the field of neuroscience and, in particular, have provided important advances in the study of synaptic transmission, neuronal development, neurotransmitter transporters, ion channels and the neurobiology of disease.
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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 Faculty Fellow and Community Coordinator (and Director of the Luckyday program in the Luckyday Residential College) will also collaborate closely to organize semester programming including academic and para-curricular activities, off-campus excursions, community service projects, special events, guest speaker programs, etc.
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POSITION ACCOUNTABILITIES AND ESSENTIAL FUNCTIONS: Postdoctoral fellow will conduct a data warehouse (DW) for cancer and HCC by utilizing publicly available data sources and data extracted from the electronic health record (EHRs) at MSM and Establish the clinical significance of HCC-related genes.
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The following expectations are designed to encourage regular interaction, collaboration, and communication between the Faculty Fellow and the Residential College partners: Attend regular monthly meetings with the Director of Student Housing, other Faculty-in-Residence, and Student Housing staff.
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For this position, the Postdoctoral Fellow will work under the supervision of Principal Investigator, Dr. Slawa Rokicki, to contribute to research investigating the health, social, and policy determinants of maternal and child health.
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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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Familiarity with modern AI/ML platforms and libraries such as PyTorch, TensorFlow, and Jax. The scholar will join a machine learning group with unparalleled direct access to clinical resources, as well as Stanfords world experts in artificial intelligence, biology, and medicine.
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We encourage (and financially support) our postdoctoral fellows to receive extensive training in entrepreneurship and business management from Stanford’s School of Business. A causal machine learning-focused postdoctoral scholar position is available at the Stanford University School of Medicine.
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Summary We are seeking a Post Doctoral Research Fellow for the Department of Naval Architecture & Marine Engineering, College of Engineering. RESEARCH FELLOW Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume.
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Administrative Fellowship is a one-year learning experience designed to cultivate leaders in the field of healthcare through exposure to a wide range of operational, administrative and strategic projects/activities/issues and by fostering close working relationships between the Fellow and Leadership Team and Administrative Vice President.
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Fellow (Post Doc) Categories: Agriculture, Research / Scientific / Grants, Crop Production, Agronomy. Two years' experience in soil fertility, agronomy, or closely related plant science discipline.
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The IONM Fellow will perform IONM proceduresappropriate to their competence, including test set-up, electrode application,maintaining patient safety, and other related duties. The IONM Fellow is enrolled in aneducation program to prepare for a career in IONM at NWM facilities per NWMpolicies and procedures.
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Fellow projects will match individual interest with current UIHI needs and will consist of 4 components of working in areas of disease surveillance and chronic disease, HIV/HCV, Public Health Services (suicide, substance misuse prevention, youth and elders),special projects (MMIWG and decolonize data), Indigenous Evaluation Framework and Epidemiologist track(elders brief King county data.
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Title: fellow Company: Losangelesrams
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