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experience with at least one technical research method for gathering or analyzing data (e.g., eye tracking, EEG/ERP, acoustic analysis in Praat) Background in, and experience with, methods and models (e.g
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laboratory or field settings. Master’s degree or equivalent in biology, molecular biology, bioinformatics, ecology, evolution, or related fields Foreign completed degree (M.Sc.-level) corresponding to a
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(e.g., ball milling, high-pressure fracture experiments), magnetic-resonance-based characterization, geochemical analysis, microbial ecology approaches, alongside modeling hydrogen migration and storage
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically
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different screen use trajectories over time; 2) To identify socio-ecological factors and inequalities that influence adherence to these trajectories; 3) To explore associations between screen use trajectories
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socially engaged university. Our credo is 'Dare to Think' : we are a haven for courageous thinkers. With one of the most progressive career models for academics in the world, Ghent University evaluates its
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field (https://eimin.lrv.lt/en/sector-activities/innovation/smart-specialization/ ) Selected candidates will receive a fixed-term full-time appointment of up to three years, along with funding of up
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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admission requirements I.I - Grant Recipients: Holders of a doctoral degree in the scientific area of Geography, Ecology, Soil Sciences, obtained within the three years prior to the start date of the grant
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of molecular mechanisms, network and cell function, regulation and organization, with possible applications in precision health and microbial ecology. The research could also address advanced data-driven and