25 phd-statistics "University of California, Santa Cruz" research jobs in New Zealand
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journals and mentor junior scientists in the laboratory. Skills and Experience / Kā pūkeka me kā wheako Applicants must have a PhD or equivalent degree in Computer Science, Data Science, Neuroscience
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Campus of the Auckland University of Technology. The successful applicant will have completed a PhD in ecology, with a preferred focus in the areas of forest restoration ecology and statistical modelling
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innovative research achievements. Experience with SeisSol, RSQSim or another earthquake simulator would be beneficial. We are considering candidates with a PhD in seismology, geophysics, geology or engineering
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accelerometer, GPS, and Ecological Momentary Assessment (EMA) data, to derive actionable insights and drive informed decision-making is essential. You will hold a PhD or relevant qualification in sport and
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skills are essential, and experience working with statistical and/or physics-based models of crustal or surface processes is preferred. Candidates should have a PhD by the time of applying or expect
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and GIS skills are essential, and experience working with statistical and/or physics-based models of crustal or surface processes is preferred. Candidates should have a PhD by the time of applying
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@canterbury.ac.nz). Mōu | Who You Are You will have a PhD in wildfire spread and impact simulation, traffic/evacuation modelling or a related discipline. Strong modelling with preferably GIS experience required
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experience • PhD in Bioinformatics, Genetics, Microbiology, Biochemistry, or similar field. • Experience with bioinformatics analyses of high-throughput sequencing data. • Proficient with R, Python
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without the assistance of large language models, in order to find out the linguistic influence which such tools exert. The project involves both experimental work and statistical analysis of experimental
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professionals, and PhD and masters' students. We are committed to working closely with iwi and Māori organisations, and mātauraka Māori has become an integral part of teaching and research across the institution