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the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD graduates are encouraged to apply. The candidate is expected to: Carry out novel research and
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. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds, scattering amplitudes and their applications to classical
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on qualifications. Most postdocs at BIMSA receive generous travel grants. BIMSA also offers generous benefits including subsidized housing and health insurance. PhD in one of the fields represented at BIMSA should be
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control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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airports, convenient stores, hospitals etc. Job Requirements: We are seeking driven and collaborative applicants with the following qualifications: 1. a PhD in mathematics or a related discipline, preferably
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Institute and other work related to the Institute. Qualifications and Requirements: 1.A PhD degree in a relevant discipline, preferably international relations, political science, economics, sociology
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. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
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) Excellent previous research record. 3) Proven ability to learn relatively fast advanced areas of modern number theory and/or geometry. 4) Good record of delivered talks and participation in seminars and
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of expertise of an applicant are pure, applied or computational mathematics. The successful candidate will have no obligation to teach, but will be required to apply for an external funding from National Natural