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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role We are looking for a doctoral candidate with a strong computational, engineering
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5234 Fundamental Microbiology and Pathogenicity (MFP) Teaching Assignment: College of Science and Technology - Biology Teaching Unit Duration: 5 years with pathway to permanent professorship upon
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confidentiality of all the information brought to his/her attention Respect the ethical standards and the code of good conduct generally accepted in the profession. If you are looking for a challenging role that
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
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electric spin control and long spin coherence properties. In the past we have confirmed the magnetoelectric couplings in these molecules using EPR spectroscopy under electric fields, and we recently
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extensive magnetic and electrical characterization of 300mm fabricated devices, potentially with support of micromagnetic simulation. In this course, alternative materials and methods will be developed using
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly