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will lead regional modelling analysis and apply machine learning methods to improving knowledge of drivers of high latitude fires, help produce high latitude fire scenarios for a range of future warming
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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materials integration, nano-enabled coatings and multifunctional composites. The main duties foreseen are: Design, synthesis and optimization of Cu-Metal-Carbon interfaces in copper based nanocomposites
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: Management of large datasets across multiple courses and academic years. Conduct the required data analyses to test the hypotheses outlined by the research team, including Hierarchical Linear Modelling and
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, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and externally. Some
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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treatment using statistical methods. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Researcher Dr. Juliana Rosa Dias. . GRANT FINANTIAL
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, Fellows will be offered freedom and independence in pursuing their AI-related research, including the flexibility to change or expand their research focus and to work with multiple research groups while
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Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of