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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
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recordings to test new models of brain-body interaction. We will also explore whether rhythmic stimulation can enhance cognitive performance. The project will give you the opportunity to work at the cutting
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the fellow Prof J. L. Bamber, University of Bristol (https://research-information.bris.ac.uk/en/persons/jonathan-l-bamber), Prof X. Zhu (https://www.asg.ed.tum.de/en/sipeo/home/) and Dr M. Passaro in
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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. He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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interdisciplinary networks alike. The Institute of Cardiovascular Physiology and Pathophysiology, headed by Prof. Christian Wahl-Schott, is part of the Biomedical Center (BMC) of the LMU Faculty of Medicine
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colleagues: This PhD position is part of a larger project, funded by the US Army Research Institute for fundamental research. The research team consists of dr. Sjir Uitdewilligen (Maastricht University), prof
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Sustainable Decision Making (Prof. Dr. Clemens Thielen), which is located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The expected
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery