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The EPFL Center for Learning Sciences LEARN puts an emphasis on evidence-based evolution of education both for teaching inside EPFL and for education at primary and secondary level. In order to
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(outreach, organisation, operations) Your profile : PhD in learning science or education, or other domains if topic strongly related to learning/education Experience with teaching and learning in science and
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relating to computer vision, machine learning and data infrastructure management. Part (50% effort) of this position would also support our work on DeepLabCut - a popular animal pose estimation system https
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, Swiss academic institutions, and public schools on a competitive basis after a targeted matchmaking phase Your profile : PhD in learning technologies Interests for EdTech solutions and entrepreneurship
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of results Scientific support of other project collaborators, in particular PhD students Your profile : PhD in learning technologies / learning sciences Experience with project management and coordination Very
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: PhD degree in Computer Science, Mathematics, or similar fields Advanced knowledge of machine learning concepts Ability to present to technical and non-technical audiences Open to
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mentioned above. A PhD degree (or imminent completion) in Mechanical, Civil, Architectural Engineering, or a related field. High proficiency in data analytics with programming languages (MATLAB, R, Python
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the research areas mentioned above. A PhD degree (or imminent completion) in Mechanical, Civil, Architectural Engineering, or a related field. High proficiency in data analytics with programming languages
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preparation. Support users with sample loading and high-resolution cryo-EM data acquisition. Train PhDs and postdocs in operating transmission electron microscopes. Help users with single-particle data
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of the candidate’s work over any particular specialisation area. Candidates should hold a PhD and have an excellent record of scientific accomplishments in the field. In addition, commitment to excellence in teaching