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model. The institute participates in the Excellence Cluster Matter and Light for Quantum Computing (ML4Q) and is part of the EU co-funded Center of Excellence MAX – Materials Science at the eXascale
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. For the development and implementation of new algorithms in the field of 3D model generation, scene design and visual effects and in the development of AR/VR applications, we are looking for committed, independently
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Starting Date 1 Apr 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Your Job: In this master’s thesis project, you will focus on the application of visual foundation models for the automated analysis of grain growth in nanocrystalline metals imaged by in situ
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of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and
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of stochastic modelling, optimization, and data analytics. The position is available from January 2026 and is fixed for a term of 3 years, with the possibility of extension. As part of this role, candidates will
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learning models Investigation of these models in light of recent advancements in Selective State Space Models (SSMs), aiming to bridge the dynamics and working principles of SSMs with the dendrite-augmented
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highly motivated Master’s student (f/m/x) to join our research team for a thesis project. Your tasks The lab has previously established an in vivo model system for pooled single-guide RNA (sgRNA) CRISPR
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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the structure of the mean climate and project future climate change – and how these effects compare to those from conventional climate models. YOUR RESPONSIBILITIES Develop an original research program that