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rarity in the academic world. • Network & Collaborations: Your work will be supported by strategic collaborations with LabEx member laboratories (CEA-LETI, CROMA, TIMA, LMGP) for the development of
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( [email protected] ) or dr. Aranka Steyaert ( [email protected] ) with as subject “Application: MEA-based mechanistic neural modelling” You can apply via this link: https://jobs.idlab.ugent.be/en/ph-d
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formal, computational, biologically inspired, generative or neural-network models that advance theories of brain function. Alongside developing your research programme, you will: Develop collaborative
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow – Human Neuroimmunology, Brain Organoids and Multi-omics Department MS Research Network | Department of Medicine
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Filtered Backprojection Image Reconstruction Algorithms,” ICASSP 2015. (4) D.M. Pelt and J.A. Sethian, “A mixed-scale dense convolutional neural network for image analysis,” PNAS, January 8, 2019. If
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-flow consistency (Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 3 days ago
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study neural
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 7 hours ago
, functional neural network analyses, fNIRS, EEG / ERP , noninvasive brain stimulation, machine learning approaches or other related methodologies that provide mechanistic insight to advance our
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-driven modeling and simulation, pattern recognition, brain-inspired or spiking neural network approaches, predicting material properties, optimizing processing parameters for next-generation energy
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in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on