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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
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and attention to detail; Proven technical and analytical skills; Ability to troubleshoot an experiment as necessary. Proficiency with a computer; Knowledge of math and statistics, experience with PRISM
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design principles
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statistical modeling as well as the design and validation of performance assessment and psychometric instruments is mandatory. Familiarity with mixed-methods and/or intervention research for youths/vulnerable
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collaborations within the Department and with other units across the University. Derive, analyze, and format data for publications, presentations, and grant proposals. Perform statistical and graphical analysis
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. Familiarity with a variety of HVAC system types and current ventilation/IAQ standards is required. Proficiency in computer simulation of building energy and/or indoor air quality is strongly preferred. (e.g
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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statistical software (preferably R, others acceptable). Experience with computational modeling (e.g., reinforcement learning, planning). Proven writing abilities through publications Excellent verbal