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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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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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will focus on simulation, experimental characterization, and analysis related to high-speed electronic devices. Key Responsibilities: The research assistant will focus on the following tasks Numerical
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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
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outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians
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to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using