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Field
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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Publications and Digital Scientific Research Data) and ARS P&P 630 (Data Management & Public Access Requirements). Collaboration & Reporting Under general supervision by the Professor and Center Director of
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across the broader TU Delft research community. Job requirements PhD in computer science, AI, machine learning, data science, network science, computational social science, or a related field. Expertise in
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, knowledge graph techniques, provenance and art historical understanding, museum and archival processing, fine-tuning language models and other AI models, data transformation, and software engineering
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs
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technologies, data science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and
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dedicated e-beam evaporator, multiple dilution fridges with ultrafast control electronics, and TWPA read-out lines, as well as cryogenics engineers. Our team is large and diverse, providing the necessary
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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical and
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with rapid-scan and pulse capabilities. The successful candidate will design and build resonators, test and improve electronics for signal detection, and contribute to improvements in system software