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and climate resilience. In this project, we will compile, clean, and publish open-access demand records from across South Asia, spanning India, Bangladesh, Nepal, Sri Lanka, Singapore, Myanmar, and
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) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
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at 23:59 hours local Danish time The position is funded by the German Research Foundation (DFG), project “Abstract Techniques for Programming Languages and Secure Compilation”. The project builds
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2025-10-01, or according to agreement. Contact person: Anna Runemark anna.runemark@biol.lu.se Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file
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soon as possible. Contact person: Sebastian Marquardt (andreas_sebastian.marquardt@biol.lu.se). Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file
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will: Systematically retrieve publicly available video data and additional sources to compile a high-quality dataset; Perform ethnomethodological conversation analysis and multimodal analysis
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backend tool such as RC compiler, Design compiler, Cadence Genus, Innovus, Encounter Prior knowledge in at least one of the following areas as an advantage: deep learning hardware development memory
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Management and Analysis: Compile and analyze experimental data, comparing results with theoretical predictions to assess data quality. Technical Documentation: Prepare detailed reports and contribute
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. Laboratory and Field Testing: Evaluate sensor performance in laboratory settings and conduct field testing to validate sensor functionality. Data Management and Analysis: Compile and analyze experimental data
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-programme-in-electrical-engineering . Ready to apply? To apply for the position, please send the documents indicated below (in English, compiled in a single PDF) using our online recruitment system. To access