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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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/analysis scripting (e.g., Python) and/or beamline control and DAQ environments (e.g., EPICS). Experience supporting users or mentoring students in an experimental facility setting. Job Family Postdoctoral
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. Document methodologies, results, and findings in technical reports and scientific publications. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1098
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widely used in micro-econometrics, and to calibrate macro models. Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc. Demonstrated ability to conduct independent research
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and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http
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which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9371 Requirements Additional Information Eligibility criteria Eligible
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contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9375
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contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9368
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R