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a reputable University Experience in sensing, condition monitoring or structural health monitoring Proficiency in basics of programming languages such as C, C++ and Python We regret to inform
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, performance analysis and optimization. Demonstrated capability to conduct innovative research. Proficiency in basics of programming languages such as C, C++ and Python. Ability to initiate collaboration
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data
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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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governance. Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation. Experience in designing and evaluating exercise/prehabilitation programmes. Track record of publications and ability
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Prior experience with polymers, carbon nanotubes or sensors. Proficiency in data analysis tools (Excel, Origin, Python, etc) Familiarity with spectroscopic techniques (fluorescence, Raman, UV-Vis
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applications in healthcare Proficiency in CAD software and 3D printing technologies Strong programming skills (e.g., Python, C++, MATLAB) Excellent written and verbal communication skills Ability to work
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learning and/or deep learning methods to biological or clinical datasets. Proficiency in Python and R, with strong experience in Linux/HPC environments and workflow automation. Track record of publications
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at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage. Research & Delivery Skills Ability to independently