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research infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training
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structured, FAIR-compliant format; contributing to data curation for ML model training. Preparing scientific manuscripts, reports, and presentations; contributing to dissemination and project meetings
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, project management skills and support to other team members. Excellent oral and written communication skills. Previous experience in delivering oral technical presentations to scientific audiences as
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experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h
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for disseminating research at scientific conferences. Requirements Masters' degree (or equivalent or higher) in physics/quantum technologies/natural science/engineering/nanotechnology. Interest in semiconductor