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guiding the design of our key components. Working alongside our R&D engineers and a business developer, you will provide the critical analysis needed to make sound engineering decisions and translate our
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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science experts, including PhD-level bioinformaticians and genomic scientists, software engineers, and HPC specialists. We enable and collaborate with physician-scientists to develop solutions in support of
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. Preferred Qualifications Expertise in computational data analysis and familiarity with software platforms for image and electrophysiological data processing. Knowledge of bioinformatics, AI-driven phenotyping
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better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners Multiple funding sources
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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fabrics, and a strong interest in AI driven models for the creation of a digital twin for textile. It is best suited for those able to work independently with limited oversight while remaining highly
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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD