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experimental models with patient-derived specimens. Utilizes cutting-edge technologies Long-standing interest in advancing the understanding of human neuro-immunology Focus on analysis of: Cerebrospinal fluid
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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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POSTDOCTORAL SCHOLAR- NEURO (GLYKYS) Requisition # 4446 Position Basics Advertising Ends on:Extended Until Position is Filled Advertising Started on:Monday, July 14th, 2025 College:Carver College
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Symbolic AI, Neuro-Symbolic AI, Agentic AI, Neural Networks for code vulnerability detection (Senanayake et al. 2024), SBOM tools, prompt vulnerability detectors, and static/dynamic analysis tools could
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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immunology, pathology, neuro biology, neuro-oncology, vascular biology, radiation science and molecular tools. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical
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://jobs.dzne.de/en/p/helmholz/jobs/101591/phd-student-fmx-in-chronic-neuro… Requirements Additional Information Website for additional job details https://jobs.dzne.de/en/p/helmholz/jobs/101591/phd-student-fmx-in
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deliver a multi-faceted view on human DM1 neuro-muscular communication and pathology. Specific research objectives are: Develop a face-valid model for studying the NMJ defects in DM1 by generation of NMJ
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will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. PhD projects are part of our Lundbeck
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4