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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science, artificial intelligence, and biomedical applications. The lab is affiliated with
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Materials A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3) professional references is required to apply. Important
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 16 hours ago
is grammatically correct and clearly expressed. Consider using a word processor to draft your answers and then copy and paste into the application. Review and edit repeatedly until you have a strong
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safety, vulnerable road users, and rural and Tribal transportation contexts. The postdoctoral researcher will integrate research involving human participants, behavioral analysis, and computational methods
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21 Aug 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 20 Sep
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intelligence, and genetic simulations to support breeding decisions across diverse crop improvement programmes in the Global South. Working with large-scale phenotypic, genomic, environmental and grower survey
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography