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video, or click here to open video) Job description This Ph.D. position is focused on machine learning in realistic settings referring to statistical and system characteristics such as reliability and
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microarthropods and nematodes, statistical modeling. Robust understanding of soil ecology will be a priority when reviewing applications. Salary: $52 – $58k. Commensurate with experience. Full benefits included
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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analyze ecological questions Good interpersonal and organizational skills Competent in ecological statistics and R (multivariate analyses, structural equation modelling, generalized linear mixed effects
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well as evaluation and development of relevant statistical methodology. This is a newly established fixed-term position funded by NHMRC and MRFF grants. Initially, the position is for 2 years, with the potential
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projects in coordination with the PI with potential grant development and writing, as needed Required Qualifications* A PhD by August 2024 in survey methodology, statistics, biostatistics, public health
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funding, including with writing technical portions of grant proposals. Required Qualifications* A doctoral degree in epidemiology, sociology, health behavior, health policy, statistics, or a related field
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spectrometry) and experience in statistical data analysis is desirable. Preference will be given to candidates with previously published scientific publications and active presentations at scientific conferences
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WORK PLAN: ………………………………………………………………….……………………….. · Database cleaning and organizing · Initial statistical treatment and regression analysis · Support in the writing of articles
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not limited to: Advanced electromagnetics methods for universal channel modelling, numerical methods for wave propagation in complex environments, statistical electromagnetics, computational