213 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Princeton University in United States
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applications for postdoctoral or more senior research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year
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. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy. Applicants must apply online at https
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have multi-year appointments. Candidates must have or (or expect to have) a doctoral degree in a related field. Interested applicants must apply online at https://www.princeton.edu/acad-positions
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strong commitment to excellence in education are encouraged to apply. PhD in computer science, cognitive science, or a related field is required. Applicants must apply online at https://www.princeton.edu
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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multi-year appointments. Applicants must apply online at https://www.princeton.edu/acad-positions/position/37981 and include a curriculum vitae along with names and contact information for three
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appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Applicants must apply online at https://www.princeton.edu/acad-positions/position/37561 and
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to anticipated start date. Applicants must apply online at https://www.princeton.edu/acad-positions/position/41001. The following application items are required and should be uploaded by the applicant: 1. Cover
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design or experimental methods and machine learning. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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hired at more senior ranks may have multi-year appointments. The work location for this position is in-person on campus at Princeton University. Applicants must apply online at https://www.princeton.edu