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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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position as described above. Other documents Copies of PhD thesis. Copies of 2-3 relevant publications. Attested copies of transcripts and certificates of completed education, grades, and other merits. Use
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PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of employment decision. Under special circumstances
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3 Apr 2026 Job Information Organisation/Company CNRS Department Environnement Dynamique et Territoires de la Montagne Research Field Mathematics History » History of science Researcher Profile
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nonlinear and non-Gaussian estimation techniques and data assimilation. Familiarity with hypersonic systems, GNC, or aerospace autonomy. Nonlinear/non-Gaussian estimation, MTT, PHD filters. Deep understanding
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direction of the advertised position as described above. Other documents Copies of PhD thesis. Copies of 2-3 relevant publications. Attested copies of transcripts and certificates of completed education
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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. Assist tutoring and mentoring students. Qualifications: (Required) 1. PhD in Mathematics with research interests in Analysis in Metric Spaces 2. Speaking/Listening Proficiency in English. Report to: Dr
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. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra