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Cookie-erklæringen var sist oppdatert 23.05.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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are expected to have knowledge of theory of mind research, experience generating stimuli for and programming experimental studies, and the ability to use, or quickly learn to use, R or an equivalent statistical
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plus. Candidates with expertise in either modality are also encouraged to apply. Ideally, applicants for the position should satisfy the following requirements: PhD degree in hearing science, audiology
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perception will be a plus. Candidates with expertise in either modality are also encouraged to apply. Ideally, applicants for the position should satisfy the following requirements: PhD degree in vision
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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is expected to develop a research proposal within the scope of this project for a PhD research program, and to participate in literature searching, data analysis and interpretation and to write up
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webSTAIR, and 2) develop independent research skills in preparation for a career in academia, industry, or clinical research. Mentor/PI: Deleene Menefee, PhD Research Focus: PTSD treatment outcomes for Women