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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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, Epidemiology or Biometrics and Biostatistics. Preferred skills: Experience in conducting systematic reviews or meta-analyses. Familiarity with clinical practice guideline development processes and evidence
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Meta-Optical Systems (TMOS). The Research Fellow’s role is primarily to plan, develop and engage in high quality research projects that are aligned with the objectives of the ARC Centre of Excellence
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the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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clinical practice, policy and improved health outcomes. Supported by a connected network of leading researchers and clinicians, you will have the opportunity to build your research profile, develop
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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to examine trends in comorbidities, survival, and causes of death among individuals initiating ESKD therapy. Participate in systematic reviews and meta-analyses examining factors associated with CKD awareness
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diabetes. Participate in systematic reviews and meta-analyses examining factors associated with diabetes prevention, management, self-care, awareness, and health outcomes. Strengthen skills in longitudinal