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guidance. Responsibilities The recruited postdoc will be responsible for: Taking initiative in selecting appropriate AI models for memory access prediction. Driving the experimentation and evaluation process
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in batteries using various processes (solvothermal, hydrothermal, sol-gel, polyol, etc.). The candidate will work with partners to monitor the characterization of the synthesized particles using
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criteria Level I animal experimentation, expertise in animal surgery, skills in pharmacokinetic analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7275-HELMAR-006/Default.aspx
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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pedagogical processes related to the implementation and consolidation of institutional quality management systems in non-formal education settings. Insights gained from this research will contribute
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neurodegenerative processes. Investigate neuronal activity and neural stem cell fate in both acute and persistent infection Construct a hamster brain atlas under infection with temporal, spa.al and single cell
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or equivalent Selection process 1) Send the requested documents to the following address : iza.marfisi@univ-lemans.fr 2) Pre-selection 3) Shortlisted candidates will be invited to an interview. Additional
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. SOT-MTJs offer compelling advantages similar to SRAM, including ultra-fast dynamics (sub-ns), exception-al endurance (>1014 cycles), and low power operation (sub-pJ). A critical challenge in SOT-MRAM
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