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be optimized and quantified using tomographic methods, in particular positron emission tomography, with spatial and temporal resolution. Different types of substrates and contamination are being
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Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
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opportunity opens up for you: Explore the potential of Reinforcement Learning to address challenges in the fields of autonomous aviation, traffic optimization, or fundamental research. In close collaboration
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management of factory operations. In the Virtual Product Creation business unit at Fraunhofer IPK, we develop innovative approaches for model-based systems engineering (MBSE). Our focus is on optimizing
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to contribute to our groundbreaking research. The project focuses on enhancing RNA detection on microarrays through the development and optimization of novel biochemical strategies. Key Responsibilities: Conduct
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
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Your Job: Development and optimization of single-cell RNA sequencing protocols (10x Genomics) in plant tissues Co-development of spatial transcriptomics protocols with collaborators at CEPLAS
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at the start of each session by testing with a benchmark sample. In case of misalignment, perform fine adjustments to restore optimal system performance. What you bring to the table Student in a Physics or