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Field
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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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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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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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. FRAME’s will be validated on real-world use cases (robotics, healthcare and software development frameworks). The research associate will be affiliated with the Data Science & Intelligent Systems based in
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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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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, 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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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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in statistical software (e.g., SPSS, Jamovi, or R), as well as MS Excel and Chinese typing. Experience in the implementation of community or educational research projects will be an advantage. What We
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recordings, experience with neuromodulation or pain research, and proficiency with imaging or data-analysis software. Strong communication skills, the ability to work independently and collaboratively