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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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rare genetic variants. Development of a bioinformatic algorithm for variant interpretation. Validation of results in the clinical setting and development of a model report for communicating results
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expected to actively contribute to the project, work collaboratively as part of the research team, and perform the following major tasks: Conduct theoretical analysis, algorithm development, and simulation
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charter is to do interdisciplinary research across AI hardware, software, and algorithms. AI Accelerators, ML Algorithms, AI Frameworks, and Model-System Codesign have been focus areas in the past - we
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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/C++, or similar languages. Ability to develop, validate, and document research prototypes, algorithms, and technical workflows. Strong written and verbal communication skills for interdisciplinary
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, image, and likeness (NIL), revenue-share planning, and scholarships. Working with BI colleagues and department stakeholders, this role will help maintain reliable data systems, develop dashboards and
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algorithms; collaborates with existing clinical and research units to support ongoing laboratory projects. Develops and implements departmental and divisional policies and changes in procedures; consults
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will participate in the different stages of the research cycle, from problem analysis and algorithm development to its implementation and experimental evaluation on a real robotic platform:; ; 1. Study
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment