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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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candidate to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed
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in collaboration with international research and industrial partners. The position requires software development within the topics of navigation, sensor fusion, Kalman filtering and gravity field
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PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and
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Software Engineering As a formal qualification, you must hold a PhD degree (or equivalent), and a publication record demonstrating expertise in one of the fields in the call. We offer DTU is a leading
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- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
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accurate, robust software tools to be used in process simulators for standard and novel carbon capture processes. We aim to improve the robustness and efficiency of CO2 capture simulation for classical