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may be required. Create a Job Match for Similar Jobs Logo About Cedars-Sinai Medical Center Providing healthcare for more than 100 years, Cedars-Sinai has evolved into one of the most dynamic and highly
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Master’s degree or a Bachelor’s Degree with three or more years of research experience with a background in molecular biology, organic synthesis, biochemistry, biochemical or cell-based assay development
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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learning models for describing and predicting experimental outcomes. Prior experience in laboratory automation for life sciences is highly desirable. Prior experience with cell and tissue culture is
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collection with good laboratory practices. Experience in support applications research Experience in medical simulation scenarios and studies Familiar or have knowledge of XR hardware platforms (e.g. HoloLens
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problems. Responsibilities may include: Assisting with clinical data analysis and preprocessing Developing and evaluating AI and machine learning models Supporting research in predictive modeling and
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to design, evaluate and implement innovative health and wellbeing interventions. The partnership offers a dynamic and support research environment, with opportunities to collaborate with leading academics
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and the University of Tartu. The appointed person will contribute mainly to WP4 (Terminology-aware Quality Estimation and Automatic Post-Editing (APE)) which will develop models capable of identifying
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communication. The person should have a PhD/Master/Degree in social sciences/data analytics and have an appreciation of the cultural dynamics in Singapore and the region. He/she needs to be comfortable with
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Number: 31395 Posting Number: S06906P Job Description: Provide assistance in various research activities in Dr. Francesca Filbey's Neuroimaging of Reward Dynamics Laboratory located at UT Dallas' Center