12 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Study-Group"-"FEMTO-ST" "Prof" positions at University of Texas at Austin
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                Professor (Tenured) Candidates should have a well-established independent research program and demonstrated excellence across teaching, mentoring, and service. Application Instructions Applicants should 
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                , develop an externally sponsored research program, collaborate with other faculty and be involved in service to the university and profession. This appointment offers outstanding scope for the appointee's 
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                ) graduate program and half in the Department of Statistics and Data Sciences. This position is open to applicants at all ranks, with a preference for hiring at the assistant or associate professor level. For 
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                and abilities. Further, the successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and serve the university 
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                applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and serve the university and profession. Application Instructions 
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                , computer science, cognitive science, or a related field. Application Instructions Applicants should upload a letter of application, a CV, a statement describing their research program, a statement of teaching 
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                to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession. Application Instructions Interested 
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                Interfolio. Additional materials may be requested after the initial review of applications. Please direct questions about the search to Prof. Mary Neuburger (burgerm@austin.utexas.edu) with the words “Slavic 
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                the potential to be a second year pending performance and funding. Your skills will make a difference. You will be working for a university that is internationally recognized for our academic programs and 
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                , led by Prof. Mrinal Sen, engaged in cutting edge research on solving subsurface imaging problems using advanced techniques of full waveform modeling, inversion and uncertainty quantification. The team