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Field
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Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including
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ICT Services & Applications. Your role Successful candidates will join the Systems and Network Security Group led by Prof. Vincent Lenders . They will contribute to cutting-edge research in artificial
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. Investigate vascular dysfunction and neuroinflammation in three-dimensional cellular models, Utilize cutting-edge techniques including confocal microscopy, physiological and shear flow, and artificial
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Incurvati, and will collaborate with him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on propositions, a PhD student working on properties
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him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on provability, a PhD student working on properties, and a PhD student working on
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basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates for a research project focused on developing the foundations for artificial intelligence (AI) agents
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning