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Field
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software engineering skills are also required. Most importantly we are looking for a clear scientific leader with tremendous capacity to advance the field. This position has ample opportunity for mentoring
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clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong
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, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software
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of the research undertaken. The Post Doctoral Scholar will play an active role in the group’s weekly seminar and journal club. The Post Doctoral Scholar will also develop workflows, protocols, software, or web
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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control software development, and the possibility to implement the quantum sensing unit for temperature measurements into a quantum ion trap setup developed at our collaborators site at University
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optimization of quantum algorithms and quantum circuits, enabling more efficient and scalable quantum software development. Hybrid Quantum-Classical Computing for Scientific Discovery: Create hybrid quantum
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beamline and its experimental workflows Promote the SCS through outreach activities and engagement with academic and industrial partners across Scandinavia Collaborate with beamline scientists, software
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before the starting date; • a strong and demonstrated background in statistical mechanics; • experience with both analytical and computational methods. Experience with multiphysics simulation software