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Field
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competencies/skills required for the project: signal/array processing, machine learning/AI, MIMO/Radar systems, MATLAB/Python programming. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years
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. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and
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such as Matlab and/or Python. How to apply Please send an email with subject “PhD studentship: Numerical simulation of boiling flows for high heat flux fusion components” to Dr Mirco Magnini, mirco.magnini
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
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of the following areas: Optics and microscopy, including experimental setup design and assay development Data analysis and programming, preferably using MATLAB or Python Experience in microfluidics and
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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tools for advanced experiments: programming experience: Matlab or Python. • You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of