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, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field. Description: This is a full-time postdoctoral fellow position in a neurobiology laboratory
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are demonstrated knowledge related to acoustic modelling, measurement and soundscape. o Essential are demonstrated data analytic skills, ideally with machine learning or statistical modelling • Other general
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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., public health, psychology, aging, health communication) from an accredited university. Experienced in statistical packages (e.g., R, SAS, SPSS, Stata). Eligibility for RN licensure in the state of Arizona
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develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with
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, physics, mathematics, statistics or related fields. Evidence of good understanding (or capacity to develop understanding) of statistics and ML. Evidence of a good understanding (or capacity to develop
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must have a doctoral degree in a relevant field which may include but is not limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology