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, neurodegenerative diseases) Integration of mechanical data with imaging-based and molecular readouts Development of new experimental or analytical pipelines for multiscale mechanical analysis The project is
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collaboration with ETH Zurich (Switzerland). Within this project, we are seeking a full-time postdoctoral researcher who will play a key role in the development, optimization, and fundamental understanding
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measurement tool; and 3) developing training in legal creativity aimed at stimulating legal-creative skills. You will be embedded in the Business and Law research group and the research on talent development
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home after an induction period. Opportunities for personal development (training). YOUR TASKS You will work closely with internal teams, project partners, and stakeholders, managing the VLIZ commitments
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor
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: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
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, immunodiagnostics and vaccine development. The large market demand pushes significant increase in upstream production, shifting the manufacturing bottleneck to downstream processing. As the main stream purification
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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research, development and validation of new technologies for the Einstein Telescope. Based on a full interferometer configuration ETpathfinder aims to perform length measurements at the level of a