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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 14 days ago
for the transitions between different conformational states of biomolecules, forming complexes among them or with small ligands like drugs. The project is at the interface between physics, computational science and
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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of Arizona's Linguistics Department seeks a Postdoctoral Research Associate to lead an undergraduate research team focused on noninvasive Brain-Computer Interfaces (BCIs) and consciousness. This role offers
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
will work on an NIH-funded project developing an ethical framework for participant engagement in long-term implanted brain computer interface trials, have the opportunity to collaborate with neural
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an exciting opportunity to work at the interface of neuro-oncology, nanomedicine, and translational cancer research, contributing to a programme with clear clinical relevance and long-term vision
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analysis via Python or Matlab is required. Knowledge about computational chemistry, and High-Performance Computing on datacenter would be a plus. Also, the candidate must be able to work at the interface
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2 Mar 2026 Job Information Organisation/Company Universidad Politecnica de Cartagena Research Field Agricultural sciences » Agricultural products Computer science » Database management Engineering
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work
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leadership and advocacy for strategic and fiscal planning; enrollment and curricular management; student recruitment and retention; program review and accreditation; faculty and staff recruitment, professional
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, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual