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Manifold learning, shape space analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and
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of mathematics of Ariel University. Candidates with a PhD in pure Mathematics or in theoretical Physics, and with the expertise in the above mentioned fields are encouraged to send their applications including a
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encouraged to apply. Responsibilities: VdW heterostructures stacking and fabricating experimental devices Low-temperature transport measurements and data analysis Mentoring graduate students Requirements: PhD
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, and string theory, broadly defined. Current projects focus on quantum information and quantum gravity, holography and de Sitter space, SYK models, and defects and interfaces in conformal field theories
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information of three referees to [email protected] (please use the pdf format). The initial appointment will be for one year with a possibility of an extension for up to two additional years depending
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information of three referees to [email protected] (please use the pdf format). The initial appointment will be for one year with a possibility of an extension for up to two additional years depending