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Field
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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#publish findings in international peer-reviewed journals #PhD in Geography, Sustainability Sciences, Ecological or Environmental Economics, System Dynamics, or related fields #proven experience in system
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the framework of the project using statistical methods. - Contribution to academic publications based on project’s results. - Administrative support of the project, its events and activities. The employment
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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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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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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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, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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verbal interaction. Primarily, qualitative research methods will be used, supplemented by quantitative methods. We are looking for a researcher to investigate multimodal interaction, particularly in