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to identify trends, variances, and opportunities for improvement. Support the development of long-term financial strategies and risk assessments. Builds predictive models and forward-looking analyses
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid
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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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contexts. This work will directly support the development of AI models to predict off-target effects across clinically relevant cell types, including primary cells and 3D organoid systems. Responsibilities
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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Join us for an exciting Doctoral student journey that will combine systems biology, computational modeling, and industrial biotechnology to solve a key challenge in sustainable biomanufacturing
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significant computational resources for centralized processing. Second, the existing centralized, terrestrial-based control infrastructure cannot scale with the increasing number of airborne sensors due
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. Oversees the delivery and operating model for UFA’s data management and reporting function–including roadmaps, Jira/ServiceNow workflows, release/change management–ensuring predictable, transparent, and
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of hydrological connectivity of soil moisture using gridded soil moisture data sets and data-driven approaches (e.g., complex network methods) Develop models to predict gatekeeper locations and their relationship