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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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developing proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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virtually Analyse and interpret data using qualitative analysis methods Contribute to developing new models, techniques and methods Apply knowledge in a way which develops new intellectual understanding
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on the requirements listed on the Position Description . If you are shortlisted, you may be asked to complete a written assessment as part of the evaluation process. For job specific information: please contact
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Have you completed your PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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operations and collaborative environment. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Fluency in relevant models