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optimally Maintain accurate and organised records of experimental data, results, and lab activities Embedded Systems & Applied Computing Embedded programming: C/C++, Python, and ideally some familiarity with
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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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configuration management (Infrastructure as Code). Maintain and optimize HPC, cloud, and on-premise environments. Monitor system performance and implement security best practices. Collaborate with
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to different research groups and departments, the visiting scholars are hosted within one of our member research groups. USI will assure optimal collaboration with other relevant research groups and disciplines
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image analysis possibilities with users and colleagues Define the most optimal imaging strategy for incoming research questions Support scientist on advanced light microscopy applications, including
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project: Optimizing high-resolution geophysical imaging with novel sensor platforms. You will devote a minimum of 90% of your assignment to scientific research as part of doctoral dissertation preparation
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known for its research on thermal energy. Both experimental and numerical techniques are used in the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to
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the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in
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characterization to monitor and analyze the ALD process in real time. The insights gained will support the development of experimentally guided strategies for optimizing photo-assisted ALD, ultimately enabling