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Field
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications
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designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based
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and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Electrical Engineering is one of the six schools of Aalto University
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover high-value polymers from complex waste streams such as multilayer packaging
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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of HIV, substance use, and aging. Applicants should have a PhD or equivalent degree in epidemiology, health sciences, biostatistics, or related quantitative health field. Research experience in HIV
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candidates from all backgrounds to join our community. The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and
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awareness of current technological advancements related to your field. Required Qualifications PhD in relevant engineering or science discipline. Expertise in one of the technical research areas of interest