101 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Lund in Sweden
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: https://www.soclaw.lu.se/en/index.php/article/sociology-law-department-leads-eu55m-eu-funded-research-authoritarian-law-and-legality-central-asia https://ddrn.dk/18550/ Tasks and responsibilities As a
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you are expected to acquire basic knowledge of Swedish during the employment period. More information about the doctoral programme is available at: https://www.soclaw.lu.se/en/research/doctoral-studies
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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“carbon farming” programs, and how data flows between these actors. Actors may include small-scale start-ups, large-scale multinational chemical companies, tech companies, banks and carbon credit platforms
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methods for surface analysis and gas-phase diagnostics working with catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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philosophy and cognitive science. Theoretical philosophy has three main research areas: 1) philosophy, cognition and communication, and their history. 2) Knowledge and information quality, and their history. 3
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are united in our efforts to understand, explain and improve our world and the human condition. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of
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harness data collected during the entire lifecycle. In large-scale cloud-edge services, DevOps include many tools working together (e.g., build servers, code review, program analysis) to feed back
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; Study at LTH . Subject and project description The aim of this project is to develop novel methods for controlling hearing assistive devices using electroencephalography (EEG) data, and behavioural