168 machine-learning-and-image-processing Postdoctoral positions at Princeton University
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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acquisition and processing of associated signals and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work independently within a team environment; and have excellent
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ideal for: 1) Immunologists or Developmental biologists (with expertise in mouse genetics, tissue processing/cell isolation, and/or flow cytometry) looking to develop or acquire further expertise in
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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written and spoken communication skills.Preference will be given to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data
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Johri (Associate Director, RPDE) at rpde@princeton.edu . The submission must be online via https://www.princeton.edu/acad-positions/position/40561 . We will begin processing applications after November 24
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. Postdoctoral Research Associates will devote their residency to writing about race in national or global contexts and, with the approval of the Office of the Dean of the Faculty, will teach one semester-long