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applications in the respective scientific fields. Key areas of focus may include, but are not limited to: - Chemistry and Molecular Modelling: Using AI to advance computational chemistry and molecular design
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solutions that enhance ecological monitoring, improve resilience planning, and promote sustainable resource management. Development of a Detection Transformer through Attentive Deep Learning and Explainable
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in situ measurement techniques. Strong quantitative skills, including ecological modelling, spatial analysis, and interpretation of biological datasets. Demonstrated leadership of abalone field
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Research Infrastructure? No Offer Description Mission: Support the design, training and validation of temporal models aimed at detecting ecological patterns and predicting events such as the bloom of Oceanic
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student II. Number of vacancies: 1 III. Discipline: forest sciences IV. Application deadline: 30/04/2026 V. Detailed information about recruitment process can be found on the website: https
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Importance Statistics Statistical analyses MUSTModeling Ecological Modeling SHOULD Additional Information Benefits What we offer: Work-life balance: Our employees enjoy flexible working hours
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, Teams). Familiarity with design tools like Illustrator, PowerPoint, and Canva is a plus. Creation of Geophysics Database for training Large Language Models (LLMs): Collecting geophysics- and geochemistry
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Data Science department can be found at https://scds.uoregon.edu/ds. Particular strengths of collaborative research at UO include astronomy, biomedical data science, climate science and modeling, cell
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, hydrology, ecology, and geomorphology; and local communities, as well as other landscape architects. Currently, we are working on a broad range of coastal infrastructure projects from the Great Lakes south to
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seek colleagues with research interests in any area of applied mathematics, including computational and applied mathematics, mathematical biology, modeling and analysis of complex data and physical