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, CT, and other imaging techniques. Design and optimize multiparametric models to analyze complex imaging datasets and extract clinically relevant features. Develop and optimize newer clinically relevant
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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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system optimization for remote construction. This position will focus on advancing research in construction assembly science and technology, logistics optimization, and real-time communication frameworks
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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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Classification Title: Postdoctoral Associate Classification Minimum Requirements PhD degree (within a year) in biological sciences (e.g. molecular biology, cell biology, biophysics, biochemistry
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. Minimum Qualifications PhD in Communication, Psychology, or related field conferred within the last five years. Excellent oral and written communication skills. Preferred Qualifications Physical Demands
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. The ideal candidate will have a recently awarded PhD in a relevant field and a strong track record of productive research. This position offers an exciting opportunity to lead an independent research
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Support general laboratory operations Required Qualifications Minimum of a PhD or Doctorate in Neuroscience, cell/molecular biology, or Pharmacology Self-learner and motivated. Strong quantitative abilities