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Field
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expected to yield one or more publications. Develops expertise in soft robotic surface fabrication and complex surface deformations. Supports or leads evaluation of biofouling performance via field studies
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chromatin remodelling complexes, and benchmark their activities generate nucleosome positioning maps using sequencing-based readouts (e.g., MNase-seq, Fiber-seq) and perform quantitative data analysis
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 19 days ago
or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning, or biophysical simulations. Demonstrated interest in
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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-informed AI framework that decodes the complex relationships between material defects, functional fields (e.g., strain, electrostatic potential), and device performance, with a primary focus on leveraging
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foster an inclusive and interdisciplinary culture, providing access to state-of-the-art facilities, training opportunities, and a great network of national and international collaborators. We are committed
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Demonstrated ability to work independently and manage complex datasets Strong written and verbal communication skills in English Evidence of productivity (e.g., peer-reviewed publications, preprints, or advanced
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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empowered to innovate and address complex global challenges, all while preparing the next generation of leaders. We are committed to supporting and guiding you throughout your academic journey, ensuring
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formation and energy efficiency. This position targets the core bottleneck: turning complex, sensitive interphases into measurable, interpretable mechanisms through operando and in-situ observation and