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-physical properties of insulating biobased concretes in order to provide the input parameters for modelling. Multiphysics predictive modeling: to reduce the cost of experimental tests and provide a decision
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fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st April 2026, or as
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CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
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of building a virtual shoot meristem using multi-level data and computational modelling to investigate stem cell plasticity. The main focus of the RA's part of the project will be on computational modelling
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of the project] * Background of the recruitment and description of the project Currently, ICHARM has one senior research specialist responsible for the analysis of satellite data and sediment transport modeling
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to staff position within a Research Infrastructure? No Offer Description Mission: Develop AI/ML models to estimate CO2 absorptions and emissions from satellite data and in situ measurements. Functions
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iterative validation. The project combines the generalization capabilities of large language models with symbolic constraints and formal verification backends to ensure generated properties are auditable
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE VETERINARIE | Italy | 12 days ago
1.2, the work will establish a murine AD-diabetes comorbidity model and generate metabolic and cognitive datasets. Objectives include: establishing diabetic models (STZ and HF diet), serial glucose