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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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of detailed electrical data and optical emission information. Cathodoluminescence measurements. Since degradation experiments typically extend over one week or longer, all measurements are performed in a fully
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education, digitalization, and technology. For further information about the position, please contact Dr. Tim Fütterer at tim.fuettererspam prevention@uni-tuebingen.de The Hector Research Institute
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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, large data sets for each individual patient are already routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular
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RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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20 Feb 2026 Job Information Organisation/Company Helmholtz-Zentrum Umweltforschung Research Field Geography Researcher Profile Other Profession Positions PhD Positions Application Deadline 20 Mar
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical