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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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information of up to two references (will be contacted during the hiring process) Sample of best works of the candidate (e.g. publications or PhD thesis). Additional comments Application deadline is May 31
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
input, fieldwork oversight, and analysis of large-scale cross-national survey data; Oversee key aspects of implementing an international teacher survey, including coordination with external survey firms
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research assistants, PhD students, and project students). About the department The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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museum for nature. One big museum site, in the Botanical Garden, in the center of Copenhagen, will host state-of-the-art laboratories, outstanding research collections, new public galleries, and combined
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably