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Field
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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/or experience with developing AI tools in healthcare. Possess strong programming skills in Python, PyTorch or otherwise. Have a good command of English (spoken and written). Have good communication
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environment, i.e. combining both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden
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scalability of software systems using Python; Demonstrated experience managing Linux-based server environments, including deploying, updating, monitoring, troubleshooting, repairing and securing large-scale
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outlook and good communicative skills required to collaborate in a multidisciplinary team demonstrable experience with scientific programming, e.g. in Python, Julia or R proficiency in spoken and written
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signal processing. Experience in programming (Matlab and/or Python and/or C) Analytical mindset Hands-on approach Good interpersonal and interdisciplinary communications skills Proven autonomic attitude in
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reflecting individual accomplishments. You are proficient in Python and/or R; experience with shell scripting (Bash) and AI frameworks. You have a strong command of scientific English, both spoken and written
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programming (e.g. in python). You have good communication skills (in English) and strong affinity with working in a multidisciplinary and mutli-institutional environment. Do you recognise yourself in the above
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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developing XR applications using Unity/Unreal game engine. Demonstrable experimental and analytical skills, including designing and conducting studies, programming (e.g., Python, C#). Advanced skills in both