33 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions at Technical University of Denmark
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of stunning Devon. Further information For further information please contact Dr Dong Wang, e-mail d.wang2@exeter.ac.uk . The closing date for completed applications is Sunday, 4th January 2025 at midnight
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master and PhD levels across DTU's study programs
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estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
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scanning program and a post-processing program. The software architecture and programming approach for a suitable implementation in a clinical scanner must be described during the project. The clinical
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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Multiphysics. Experience with magnetism, e.g. from a BSc course in electromagnetism. Experience with writing and publishing scientific articles. Ability to work independently, to plan and carry out complicated
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype