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designs are preferable, as well as experience working with industry partners. You will have excellent skills in team work and collaboration and experience of developing and maintaining effective research
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the BCA, focusing on the development of a power grid interactive building or cluster of buildings. The role involves designing and implementing monitoring, visualization and control system to coordinate
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 6 days ago
components for each ORISE fellow (computational, complex in vitro modeling - CiVM and bioanalytical). Computational: The participant will assist in the development of quantitative systems pharmacology models
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an emphasis on technology, data science and the humanities. The Pavesi Lab at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University, develops advanced human microphysiological
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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position. This project will focus on geospatial analysis to identify data and research monitoring gaps in the Northern Gulf of America, as a first step toward developing a Northern Gulf of America Coastal
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receive funding under the auspices of OxCHEDS. The post holder will manage their own research group and have responsibility for the development of its strategic direction. The Fellow needs to be a
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applications development, exploring the next generation of fault‑tolerant quantum hardware. Embedded within a vibrant ecosystem including the Queensland Digital Health Centre , the ARC Centre of Excellence
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 6 days ago
, additional research is needed to establish its utility for quantitatively characterizing ADA time-course profiles compared to traditional tiered approaches. In our previous research, we developed a
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected