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Field
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) Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs, and in analyzing complex, multi-modal data A generalist with an interest to solve challenges using a
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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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storage at solid-liquid interfaces (i.e., catalyst-molecule) using advanced analytic methodologies (including large-scale research facilities). The current project deals with establishing operando analytic
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literature and existing solution approaches, then formalize the use case, its scale, constraints, and available data. Building on this, you will design and implement a prototypical end-to-end system. In
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computing systems for a research institute generating and analyzing large volumes of imaging and sequencing data. Your responsibilities include: Development and maintenance of bioinformatics workflows for NGS
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are suitable for addressing the question. Gaps in existing datasets and models should be described and filled with our own data and models. Based on the developed methods, it should then be evaluated whether (1
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our own data and models. Based on the developed methods, it should then be evaluated whether (1) reliable detection of erotic clothing is possible and (2) whether erotic and pornographic images can be
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-node environment with Linux servers and a large Elasticsearch database. Monitor, maintain, and develop data pipelines in Go and Python that will extract, transform, and load data into the database
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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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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