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implementation of fusion/learning based techniques in the areas of robotics, or autonomous systems, • interested in autonomous systems and signal processing, • Keen to work with equipment
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regulation. We explore how mitochondria influence systemic physiology through novel signaling pathways, including mitochondrial-encoded peptides, and how these pathways impact diseases such as Alzheimer’s
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with single-cell and spatial sequencing data to develop hypotheses regarding how specific physicochemical niches impact signaling interactions between cancer cells and stromal cells in pancreatic tumors
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Employment 1.0 FTE Gross monthly salary € 2,901 - € 3,707 Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 14 August 2025 Apply now
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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mitochondria influence systemic physiology through novel signaling pathways, including mitochondrial-encoded peptides, and how these pathways impact diseases such as Alzheimers, metabolic syndrome, and chronic
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Neurophysiology) at Justus Liebig University Giessen. We investigate how olfactory and taste signals are processed in the insect brain, particularly in Drosophila melanogaster , and how these signals are translated
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OF RESEARCHHealthEnergyEnvironmentInformation, communication and quantum technologiesCandidates can review the research lines here: http://icn2.cat/en/researchDuring the application process, candidates will be asked to select the ICN2 research