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(R2) Application Deadline 16 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with
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internal and external colleagues Adheres to standards for safety and hygiene and ethical conduct as defined by the University and relevant outside parties CONTRACT TITLE Research Associate FLSA Exempt CAMPUS
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Position in Precision Network Neurology of Brain Aging The Brain Circuits Laboratory, led by Drs. Steven Small and Ana Solodkin, is seeking a highly motivated postdoctoral scientist to join our team in
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. Test whether the same network mechanisms hold across biomes, and whether the breakdown of indirect links under global change predicts observed biodiversity loss. Develop and share open-source software so
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benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a
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events. You will also be involved in the re-deployment of sensors within the Desert Fireball Network. A central aspect of the role is translation and engagement. The SDA-PD programme has deliberately
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broad European and international network through its collaboration schemes and open-science activities. Through its research, the ACT provides ESA with early scientific insight into emerging trends and
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
on LazySlide ( et al Nature Methods ), our scalable software foundation, and our deep learning framework for age prediction (Abila et al., Nature Medicine, in press) to engineer a body-scale machine learning