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analytical and programming skills. Strong scientific writing skills. Experience in publishing research findings in peer-reviewed journals. Ability to work independently and collaboratively in interdisciplinary
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 21 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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of salinity data collected during the field surveys and through the monitoring stations; Calibration and validation of analytical and numerical hydrodynamic models based on the collected data. The models have
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and in a coordinated manner. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. JOB DESCRIPTION
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. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. Emerging and re-emerging infectious diseases
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and research reporting strong quantitative research, data management and analytical skills demonstrable excellent communication and stakeholder engagement skills, with the ability to build effective and
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equality and diversity duties document. Person Specification A PhD relevant to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability
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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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have no more than five years of post-qualification experience at the time of application; (b) background in optimization and data analytics; and (c) related research experience. Applicants
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. Responsibilities include: Conducting independent and collaborative research in environmental remote sensing, catchment processes, and geospatial analytics. Utilizing multi-source remote sensing datasets, with a