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Job Description Do you hold a PhD in macro-energy system modelling? Do you want to investigate how small clusters with advanced technologies (renewables, carbon capture, power-to-X) can spearhead
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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infants. Responsibilities will include activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data, writing manuscripts, presenting
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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handling, processing, analysing and interpreting large data sets Experience in mentoring, leading and organising junior laboratory members and laboratory arrangements (e.g. MSc or PhD students) Track record
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 1 day ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Astronomy / Astronomy and Astrophysics Artificial Intelligence, Machine Learning and Autonomy Artificial Intelligence
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human