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of Stony Brook University and have strong communication and collaborative skills. * Conduct independent and collaborative research on resilient and communication-efficient distributed multi-agent systems
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into concrete observational and computational strategies. This work will be carried out under the supervision of Professor Alessandra Corsi, in close connection with collaborators at the JHU’s Institute for Data
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pathogen variants. You will be part of a collaborative initiative between Argonne National Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), Fred Hutchinson Cancer Center (FCC), University
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wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage
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the vibrant and collaborative open-lab space in the Couch Biomedical Research Building. This appointment is considered a training-focused, transitional role toward an independent academic, industrial
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efforts relevant to wireless technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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with Dr. Wei Pan (https://directory.sph.umn.edu/bio/sph-a-z/wei-pan or http://www.biostat.umn.edu/~weip/),and his collaborators in or outside the University of Minnesota. The research will focus
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teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and
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on building AI skills, promoting trustworthy AI, and accelerating innovation through targeted training, micro-credentials, public engagement, and industry collaboration. Within this initiative, the Faculty