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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 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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. The Biologics Development Module (BDM) is a unique applied research laboratory space within NBAF tasked with the mission of transitioning research developments into products. The BDM operates at a BSL-2 level of
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(FO): This type allows young researchers to prepare a PhD, and to develop into independent scientists with a critical mindset. In this context, fundamental research stands for challenging and innovative
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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- “Development of modular microrobots and the image-guided intervention for minimally invasive anti‐adhesion treatment after tubal cannulation”. Qualifications Applicants should have: (a) a doctoral degree with
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Office of Women's Health Grant Program (OWH GP) | Silver Spring, Maryland | United States | 3 days ago
motivated postdoctoral researcher to join a collaborative project with interdisciplinary research that focuses on developing mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) as a novel
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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and to integrate these lines into the drug-development pipeline to aid the discovery of novel therapeutics that eliminate “persister” parasites. This will involve undertaking research on Trypanosoma
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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