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Field
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to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and evaluate the contributions using simulations and experiments with
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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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data integration, image segmentation, predictive modeling, and uncertainty-aware active learning approaches. Perform data analysis and collaborate on physics-based simulations to support closed-loop
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simulation, fabrication, systematic characterization, high fidelity operation as well as integration and scaling technologies. Our ultimate vision is a fully integrated semiconductor processor with integrated
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contribute to both fundamental understanding and industrial applications of thermal processing, including product characterization, process design and modeling, and techno-economic evaluation
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Qualifications: Ph.D. in Chemistry, Computer Science or equivalent In-depth knowledge and hands-on experience in MD simulation and molecular modeling Experience in processing and analyzing protein structure and
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submitted directly and obligatorily on the CCMAR website, https://ccmar.ualg.pt/en/career-opportunities , are accepted and must include the documents below indicated under penalty of exclusion: 1. Copy
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) and transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my
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be expected to participate in the project’s work, work as a team member, and perform the following major tasks: Design of the experimental set up and tests Theoretical modeling and simulation
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an interdisciplinary project funded by the Marianne and Marcus Wallenberg Foundation, we pose three specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and