16 web-programmer-developer-"https:"-"UCL"-"U"-"CERIC-ERIC" "https:" "https:" Postdoctoral positions at Pennsylvania State University
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. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
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the university's teaching, research, and service mission. Apply online at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Postdoctoral-Scholar---Quantum-Systems_REQ_0000072468-1 CAMPUS
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skills in analytical chemistry method development (e.g., HPLC-MS/MS, GC-MS/MS). Interested applicants with a range of clinical and laboratory-based skills and doctoral degrees will be considered
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of Medicine, 500 University Drive, Hershey, PA 17033, E-mail: juh13@psu.edu, Web: https://pure.psu.edu/en/persons/jianming-hu . The post-doctoral scholar will perform sophisticated experiments to study the
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-tenure track, term, Postdoctoral appointments are committed for three years with a contract renewal occurring each year. Duties for this position include research and teaching. The Chowla program is
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with sex and gender. The post-doctoral scholar will be expected to help support management of ongoing projects and develop their skills through independent research and mentorship. They will plan
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the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order
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to candidates with expertise in any of the following areas: Development of new direct detection methods Sub-GeV dark matter searches Astrophysical searches of BSM physics High-energy astroparticle transport
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the Penn State application at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Postdoctoral-Scholar---Department-of-Statistics_REQ_0000066812-2 , and must also submit
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in the group of Dr. Bharath Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data