714 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Plan and execute in situ/operando experiments using advanced characterization methods, including Near Ambient Pressure X-ray Photoelectron Spectroscopy (NAP-XPS), electron microscopy, Raman spectroscopy
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Sciences | Clinical and Translational Science Institute Post Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal
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time, part time or short term, contracts not to exceed one year. Possibility of renewal up to a total of three years, depending on program needs, funding, and performance. The successful candidate will
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help
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and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend
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of colloidal systems; optical microscopy techniques Optical microscopy Image and data processing Basic programing for experiments Image and data processing/analysis Please upload the following as attachments
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program development. Other duties may be assigned in alignment with the program’s evolving research priorities. This position is ideally suited for a driven PhD RD seeking to deepen expertise, lead
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employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch