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Skills/Qualifications Technical Skills: Programming: Fortran, R, bash. Climatic data libraries: CDO, and NetCDF format. Specific Requirements Knowledge: Epidemiological models: health and temperature
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or Departmental Website: https://med.stanford.edu/gruberlab.html (link is external) How to Submit Application Materials: Interested applicants should submit the required application materials by email to Aronne
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knowledge in one or more of the following areas will be given priority consideration: • Experience with grid reliability/resilience modeling (e.g., PowerWorld, MATPOWER, GridLAB-D, or similar). • Knowledge
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determinations for the different models, including sample preparation and chromatographic determinations by GC-MS and other techniques Preprocess chromatographic fingerprinting data and to develop and validate
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studies, that are aligned with mentor teams research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness of documentation; write and
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LIST? Check our website: https://www.list.lu/ How will you contribute? The Post-Doc researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait
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Networks Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the analysis of the bridging between critical communications with railway communications in 5G
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Science, Machine Learning, Finance, FinTech, Economics, or a related field. Candidates should demonstrate knowledge of Large Language Models, generative AI, and machine learning, with interest in financial
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); Documented experience in research work on AI models with applications in the space sector or similar (previous cooperation with the European Space Agency is welcome); Knowledge of tools and practices related
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command of English. Knowledge in project field. Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhanci… Website for additional job details https