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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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of the immune system. They recognize with their receptor (TCR) target structures derived from pathogens, tumors and other exposed or self-derived antigens with high specificity. The overall and intraindividual
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, life-cycle analysis, and demonstrator construction of tandem photoanode-photocathode systems based on thin-film semiconductors coupled with transparent catalyst and protection layers. An important focus
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development. Soft skills: analytical thinking, structured and organized work, high intrinsic motivation. For E14: leadership experience (supervising PhD students or Master students). How to apply? Send your
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access patterns to data structures from past observations and application-specific knowledge, pre-load data from main memory into a fast on-chip SRAM buffer. Reversely, modified data that is presumable not
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cancer - Preclinical structural/metabolic magnetic resonance imaging (MRI) with hyperpolarized 13C-substances, treatment studies, computational analysis of multimodal imaging data and corresponding
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into the ways late industrial societies inhabit bodies and environments at the level of molecular structure; third, we reflect more broadly whether ‘the Anthropocene’ requires scientific practices and knowledges
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the realm of AM. The goal is to structure and advance the existing research activities at the chair, set up a research group, acquire additional research funding, actively collaborate in a highly
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schemes and applications primarily for optical imaging. We use protein engineering to develop agents based on our research in photophysics and structure-function relationships. These agents are employed