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, the role involves shaping the research agenda, contributing to project deliverables and publishing in leading venues. The candidate is also expected to support PhD candidates in their research activities
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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harvesting and cooling. Degree: PhD in one of the following fields (or similar): Materials Science and Engineering, Chemical Engineering, Electrical Engineering, Nanoscience and Nanoengineering, or Applied
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. To contribute to the reputation of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris. Job requirements You hold a PhD or equivalent qualification. You have expertise in computer
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scientific mission. The ideal candidate would be a recent PhD graduate (not more than 3 years ago) who is independently able to propose new hypotheses based on available literature, and design experiments and
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
. Structural Biology: We use cryo-electron microscopy to reveal the molecular interactions between a drug and its receptor. This provides useful information for probing specific atomistic mechanisms that drive
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop