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Field
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neuroscience. Our consortium also includes experts in stimulation or recording techniques (EEG, EMG, TMS, tVNS, (f)MRI etc.). Specifically, a fully integrated exoskeleton with eye-tracker, virtual reality
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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interaction with MRI engineering (CERMEP), clinical partners (hospitals in Lyon and Paris), and neuroscience researchers. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5229-SULBEN-021
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systems. The applicant is expected to contribute to ongoing projects and is encouraged to actively develop new lines of research within the field. Qualifications Eligible to apply are individuals with a PhD
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
operating theatre) fully equipped for osteosynthesis and high-definition arthroscopy and laparoscopy. In addition, advanced diagnostic equipment including CT, MRI, nuclear scintigraphy, fluoroscopy, high
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discussions, and aware of when to ask guidance or support. The position is fulltime, but part-time may be discussed (minimum of 0,8 FTE on-project). Your experience and profile: PhD degree in Cognitive
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on cognition. Specific activities may include managing/preprocessing/analyzing behavioral and neuroimaging data, collecting new data (e.g., behavioral cognitive tasks, fMRI/MRI analyses, wearables such as
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using multimodal data including neuroimaging (structural and functional MRI, spectroscopy, PET), omics (genomic, proteomic, cytokine markers), and digital phenotyping (ecological momentary assessments
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addition, the successful applicant will interact with faculty in the Department of Radiation Oncology, which has a dedicated Siemens 3T MRI scanner used for treatment planning as well as an Elekta MRI-Linac
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developed multiparametric MRI protocols to accurately assess treatment outcomes in terms of treatment viability. This project aims to further advance this objective by integrating different medical imaging