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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 10 days ago
, Inserm and CRNS, which gathers an international team of researchers, engineers, clinicians and students interested in studying brain networks, to shed light on information processing, its modulation by
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Posting Title Postdoctoral Researcher – Process modeling and sustainability analysis for lignin valorization . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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refining dynamic models representing the adaptive responses of marine ecosystems (2) Conducting hindcast experiments using numerical models to evaluate climate-driven changes in marine ecosystems and
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resides in is to build up technology for data-driven pattern recognition to infer data-driven generalized auditory profiles. The central challenge for this endeavor are the small sample sizes (of typically
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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for economy-wide energy system decarbonization models, in the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi
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31 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Sociology » Urban
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or strong interest in developing AI driven applications and/or machine learning in materials science or engineering design (e.g., regression models, performance prediction, data analysis) In addition
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing