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techniques, including classical molecular simulations at different levels of resolution and the development and application of neural network models, including generative modeling approaches. Candidates
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for Translational Neuromedicine (CTN) is looking for an experienced and highly motivated PhD student. The successful candidate must be interested academically in neural and neuroendocrine biology
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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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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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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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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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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 1 month ago
–75,000 per annum plus benefits. Closing date 7 Nov 2026 Website https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs/job/UBC-Vancouver-Campus---Vancouver-BC-Canada/Postdoctoral-Research-Fellow---Human
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unique datasets of neural activity. Your primary focus will be to design new learning frameworks and neural network architectures to advance our fundamental understanding of how the human brain forms
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experience designing, implementing, training, and evaluating learning agents or neural-network models for sequential decision-making, supported by publications, preprints, or research code. Demonstrated
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microbiome, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome