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research and the coordination that keeps a productive lab running. Research and Scholarship: The core of this position is an independent yet lab-aligned research program centered on the neural circuit
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dynamic linear models (a type of state space model) Neural network-based time series models, specifically transformers Convolutional neural networks, for encoding video frames Closed frontier large
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | about 2 months ago
(urban air quality modelling and emissions) and collaborate within a Helmholtz-wide network with expertise in: - Bayesian deep learning neural processes (Helmholtz Munich) - air quality measurements and
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but could become disruptive in the future. The team operates to high academic standards, publishes in peer-reviewed journals and conferences, and has built a broad European and international network
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of the IEMN laboratory. It is supported by research contracts. As part of this project, the work will focus on the future development of a completely new generation of embedded neural implants
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Institut de Recherche en Cancérologie de Montpellier Inserm U1194 | Montpellier, Languedoc-Roussillon | France | about 2 months ago
neural network practical experience would be a plus. Languages ENGLISH Level Good Additional Information Work Location(s) Number of offers available 1 Company/Institute Institut de Recherche en
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 20 hours 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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. A novel drive-by bridge damage classification method will be developed using the concept of physics-guided deep neural networks. For this purpose, a novel cross physics-data domain loss function will
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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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. Responsabilities: Lead the development of hybrid foundation model-graph neural network architectures for gene perturbation prediction, including the design and implementation of novel training strategies under