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of LIS ́s researchers, in the framework of Project WATERSCAN - Intelligent Optoelectronic System for Monitoring Water Distribution Networks and Detecting Leaks (CENTRO2030-FEDER-01468500), co-financed by
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implementation strategies. Contribute to dissemination activities, including engagement with policy stakeholders and national EIP networks. Person Specification PhD (or near completion) in implementation science
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); d) Proficiency in Portuguese and English, both spoken and written. e) Competence in statistical and qualitative analysis, including the use of software such as SPSS, R, NVivo, MAXQDA, or equivalent; f
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techniques in materials or chemical modeling—e.g., graph neural networks, ML interatomic potentials, and uncertainty quantification. Strong programming skills in Python (or equivalent), with demonstrated
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with a truly global impact — contributing directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network
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materials or chemical modeling--e.g., graph neural networks, ML interatomic potentials, and uncertainty quantification. Strong programming skills in Python (or equivalent), with demonstrated experience in
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resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Collaborate with computational and domain
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and the most effective accommodations Fellows will train under the supervision of an arthritis researcher who qualifies as a Principal Investigator as defined by Arthritis Society Canada. Applications
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written) Experience in studies related to neurodevelopmental disorders Knowledge of qualitative analysis with software such as NVivo, MAXQDA, Atlas, among others Immediate availability
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the advanced modeling and simulation. Responsibilities: Manage the projects with the defined milestones and deliverables Manage day to day laboratory activities and a team of researchers Manage laboratory