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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The forthcoming Atmosphere Observing System (AOS) mission aims to provide spaceborne observations
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circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research Leadership As a
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). These structural features will be finely tuned with the controlled introduction of conformational defects and bulkier side groups to limit interactions. • Strong emphasis will be placed on increasing the molecular
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analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell
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, radiologists, clinicians, and engineers. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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supervision. The primary goal of the lab is to characterize host translation control of HIV-1 that leads to productive viral replication. The prospective candidate should be willing to work in a collaborative
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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, meetings with industry, search of market, etc. Co-supervise PhD, Master and Bachelor Degree students; Train the team members and control the operation protocols of some instrumental units (in particular
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics