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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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for data analysis and model development (NumPy, pandas, scikit-learn). Working knowledge of SQL and relational databases. Familiarity with at least one ML or deep learning framework (e.g., PyTorch
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Coordinate contribution to modelling projects and platforms supporting reporting, communication andmeeting organization Where to apply Website https://jobs.helmholtz-hzi.de/job-invite/654/ Requirements
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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to replicate floating wind turbine farms, with particular attention to the aerodynamic modeling of individual turbines and wake modeling. The objective of this activity is to assess the effects of interactions
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and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages of clinical development, spanning multiple therapeutic modalities. The Fellows will
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Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the analysis of the deployment of 5G future railway mobile communications systems in tunnels by analysing
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will be co-supervised by LATMOS (A. Määttänen) and LMD (A. Podglajen), and will work within a team of researchers specialising in atmospheric physics and research engineers with expertise in modelling
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of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model architectures
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Observation (EO) and modelling system to solve the gap of data availability, quality and incomplete coverage required in water accounting. The FEST-EWB model will be applied across different irrigation