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Centre for Territory, Transport and Environment, SYSTEC – Systems and Technologies Research Center, and CMUP – Mathematics Center of the University of Porto. The project aims to develop an advanced digital
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bottom up, whether it's code or biological structures. Requirements: A Master’s degree in Computational Science, Biomedical Engineering, Biophysics, Physics, Applied Mathematics, or a related field; Strong
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electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
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community, in line with OSU’s shared values (see below). Additional Information: How to Apply To be considered, please submit your application electronically via Workday. https://osu.wd1.myworkdayjobs.com
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science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 2 months ago
execution of greenhouse and field trials. Carrying out laboratory work and using instrumental analysis equipment and molecular techniques. Data processing (mathematical and statistical). Presentation
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to work performed. Knowledge, Skills & Abilities Knowledge of the principles & practices of mathematics & statistics. Knowledge of research & analysis techniques & methods. Knowledge of work-related
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Research Area in the Integrated Crop Systems Analysis working group. The interdisciplinary working group has a thematic focus on climate risk management and assessment. They use a range of methods including
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profile to lead the development of natural interfaces based on extended reality and who can design subjective evaluation experiments (methodology, design, execution, analysis, and report). Buscamos
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tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate