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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms
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include: Applying controlled stress treatments Phenotyping stress responses with various sensors and gene expression studies in real-time PCR RNA sequencing and transcriptome analysis with corresponding
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covers research on batteries, fuel cells, electrolyser, sensors and flow batteries. The Redox Flow Battery Group has been working for over 15 years in the fields of electrochemical characterization
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reactions and processes. RESOLV’s mission stretches from fundamental research to the translation into applications such as green technologies or smart sensors Open doctoral positions in the Cluster
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sensing and human activity recognition as part of an expert team Design and evaluate smart wearable sensor systems Assist in organizing and coordinating laboratory studies Publish research results in
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(with an option to extend the contract by a further 3 years). The medical physics group is working in the field of biomedical photoacoustic imaging and sensor technology. We are developing novel
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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will benefit from Fraunhofer IOSB’s specifically large variety of skills, covering the entire chain of optronics and sensor data evaluation and ranging to the engineering of secure and user-adequate