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molecular representations, off-target prediction, and experimental feedback. The developed methods will be applied in iterative prospective drug-discovery cycles, with a serine protease from the complement
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neuroscience. Within this framework, AI models are co-developed with domain experts to unlock concrete biological questions and accelerate their translation to clinic. The large and interdisciplinary research
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details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa
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and Computer Science at the University of Basel invite applications for a PhD or postdoctoral position focused on Large Language Models (LLMs), including pre-training and post-training. The successful
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that drastically reduces power and latency. We are looking for a Postdoctoral Researcher/Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that powers
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
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the molecular mechanisms of prostate cancer progression and therapeutic resistance. The group combines functional genomics, translational pathology, and cutting-edge experimental models to drive discoveries from
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responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) (https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to investigate how neuronal
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climate control in buildings, aiming for an understanding of how building systems and materials interact with architectural design and the human occupant. The A/S Zero Carbon Building Systems (ZCBS) Lab