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to the refinement of the ongoing project “Sustainable Tourism Development: Blueprint for a Green Luxury Yacht Cluster in the Tétouan Region.” The selected candidate will focus on design, spatial thinking, and applied
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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. The position aims to reinforce the laboratory’s interdisciplinary team and contribute to the refinement of the ongoing project “Sustainable Tourism Development: Blueprint for a Green Luxury Yacht Cluster in
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team. The position is embedded within a newly funded ERC Consolidator Grant, further supported by the SyNergy Cluster of Excellence and the newly established Collaborative Research Centre CRC 1744
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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to the finalization and further development of the ongoing research project “Sustainable Tourism Development: Blueprint for a Green Luxury Yacht Cluster in the Tétouan Region”. Within this project
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virtual chemical library screening pipeline on a computing cluster (4,000 cores). - Develop protocols for aggregating, processing and filtering the data resulting from the pipeline. - Design an interactive
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
(molecular dynamics, DFT, and coupled cluster methods). CAS hosts experimentalists, observers, and theoreticians who investigate together the chemical and physical evolution of the interstellar medium and star
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a