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and theories related to climate interactions with respect to present and future environments. You have demonstrable skills in the modelling and analysis of spatio-temporal variability of climate and
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the following objectives: Develop scalable analytical models that account for the full dynamic topology of LEO constellations across successive orbital snapshots, including satellite handover events and topology
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problems or enhance industry operations Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI
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for the processing of multistatic radar data within the URANUS project. The work includes the design and implementation of a data simulator based on the physical modeling of the acquisition process through
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focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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twin. This includes the development of efficient simulation methods, the integration of measurement data for state reconstruction, and the implementation of model predictive control strategies with
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The primary focus will be developing computational models; simulation and analysis
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(e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold
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Mathematics » Computational mathematics Computer science » Autonomic computing Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD