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experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset. Personal merits will play an important role in the selection process. Place of work
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
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visibility across distributed systems. -Security measures for hybrid cloud-to-edge architectures to protect against diverse threats. The projects aim to further digitalize the European industry, where EISLAB
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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. Our group is fascinated by one of biology’s deepest questions: how does development—the process by which genes and environments build organisms—shape the potential for populations to evolve? We study
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SEEC, as well as to coordinate the processing, analysis, and presentation of surveillance data to the research community, stakeholders, and the general public. In addition, the role includes producing
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to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data