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Field
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Identification and parameterization of innovative and circular industrial processes as a central component of the sustainability transformation Identification of possible usage profiles for different types of (bio
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(physics, mathematics or geosciences) Experience in numerical modelling of geodynamic processes and/or continuum mechanics It would be an asset to have command expertise in modelling the interlink between
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pathogens ensures rapid immune activation, while also modulating longer-term immune responses. Specifically, they play key roles in pathogen recognition, antigen uptake, processing and presentation, but also
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interest in one (or two) research projects as part of your application: C01 – Synthesis of organic dyes and redox systems for controlled assembly in mol2Dmat heterostructures (Prof. Eigler, 2 positions
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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analyses Electrode integration and processing studies: Incorporate catalysts into planar electrodes and investigate processing effects to ensure reproducible, high-performance assemblies Electrochemical
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with fluorescent reporters and high-throughput screening approaches
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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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: Protein-protein interactions (PPIs) are important mediators of most cellular processes. Understanding how proteins interact with each other, ideally at structural resolution, is key in understanding