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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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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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a resilience performance modelling framework at the regional and European level. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You 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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, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years. Equal opportunity is an important part of our personnel policy
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methods for simulating and validating drive trains and drive train components of wind turbines. A particular focus of our work is on creating detailed simulation models that can be used to plan, support