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Your Job: The project focusses on Tans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans
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Your Job: This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related
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closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands-on experience with robotic hardware (e.g., robot
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individual rates of ageing. Role You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 10 days ago
original research on data quality in either digital behavioral data (e.g., data from online platforms, web tracking, smartphone apps) or survey data, including the use of AI methods to assess data quality
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, 2-3 names of referees) together with a 1 page pitch on a planned research project outlining research objectives and how you want to achieve them. Please submit all documents as a single PDF (not
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qualification: Eligible candidates must hold an outstanding PhD in Geosciences, Physical Geography, Environmental Sciences or related disciplines. Preconditions are a proven track record of applied geospatial and