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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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using image analysis software already available at the LCTS. This will generate two types of computational domains: (i) porosity-calibrated images (i.e., images whose gray levels correspond to the local
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describe the neuronal and behavioral changes associated with pharmacological manipulations, through the development of scripts using software such as Python or Matlab. 1) Conduct electrophysiology
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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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via protein crystallography. - Development of a pipeline for protein design with existing software. These includes software for fold generation, sequence generation and structure prediction, and should
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of ethical and regulatory files. • Contribution to the collaborative development of neurofeedback software (user interface, usability feedback). • Participation in team meetings and regular exchanges with
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software that integrates with the Gammapy framework, enabling the integration of public data from current Cherenkov telescopes and the future CTAO. The successful candidate will ensure that the software can
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team (photonics, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate should hold a PhD in reactor physics or an equivalent degree. He or she should: - Have a good understanding of