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Manage Consent At SciLifeLab, we use necessary cookies to ensure that the website works properly for you. We also want to use cookies for web analytics to help us improve the website. You can change
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Manage Consent At SciLifeLab, we use necessary cookies to ensure that the website works properly for you. We also want to use cookies for web analytics to help us improve the website. You can change
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SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in the national programs of SciLifeLab and DDLS, as well as the Wallenberg Centre for Molecular
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 23 hours ago
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At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems, the Chair of Highly-Parallel VLSI Systems and Neuro
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(Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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consolidation? Functional MRI of visual predictions in cortex Investigating the effects of expectation on cortical feedback processing using fMRI Investigation of the somatosensory coding mechanism in
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assistant professor or associate professor whose research advances parallel and high-performance computing. Relevant areas include computer architecture, operating systems, compilers and the
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evaluate health hacks, and why some hacks are so persuasive, focusing on the interplay between individual characteristics, features of the online context, and cognitive processing during exposure
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel