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precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement. Experience from following is
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are looking for an enthusiastic colleague who meets multiple of the following requirements: You have (completed or almost completed) a Research Master’s degree in AI, NLP, Statistics, Data Science, Computer
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Master’s degree in Psychology, Sociology, Methods & Statistics, Organisation Science, Economics, Management, Public Administration, or a similar study. You have the ambition to conduct excellent scientific
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to work with tasks outlined above, she/he is expected to establish own initiatives to move the PhD project forward and to work well in a team. Advanced knowledge related to statistical analyses will be
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. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
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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 robustness to limited data
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energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement
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. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
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forward and to work well in a team. Advanced knowledge related to statistical analyses will be considered of merit, as will an understanding about the Swedish food system. Personal merits will play a
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communities and carbon cycling, as well as statistical modelling will be considered assets. Fluency in spoken and written English is a requirement. Ability to communicate seamlessly with practitioners in Danish