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(e.g., Teuken 7B, Llama 3, Mistral 7B) specifically for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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, multi-modal, and longitudinal data with detailed information about mothers, their pregnancy, and the long-term development of their children. You will be part of a dynamic and highly motivated research
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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mathlib) for Automated Discovery in Physics Agentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here ) Other projects are certainly possible too. In general, we
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. About the project This position is embedded in the RIVIERADE project (IMPROVING MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON
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. The successful applicant will integrate multi-modal live imaging and omics data using AI-based pipelines to identify and refine early disease phenotypes, laying the groundwork for therapeutic intervention
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generation of cancer-adapted vaccines, we encourage you to apply. Your Mission: As part of the Systems Immunology Lab , you will: Engineer multi-organ microphysiological systems with tumor organoids and
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
there are several opportunities to also pursue technique development research, e.g. enabling the study of dynamical systems with SFG microscopy, as well as the development of multi-modal imaging approaches