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provides access to modern core facilities (NMR, MS, spectroscopy, imaging) and fosters collaborations at the campus, regional, national, and international levels across chemistry, biology, and biotechnology
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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@barcelonabeta.org Subject: Postdoctoral Fellow - Population Neuroscience Group (Computational AI & Multimodal Modeling) Where to apply E-mail talent@barcelonabeta.org Requirements Research FieldMedical sciences
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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for Postdoctoral Researcher position conducted by Nencki Institute of Experimental Biology PAS. Giving consent for processing of your personal data is voluntary; however, it is necessary in order to take part in
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» Computer engineering Researcher Profile Recognised Researcher (R2) Country Canada Application Deadline 8 Feb 2026 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data