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with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research
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Mechanical, Materials, or Biomedical Engineering, or a related field. Interest in biomaterials, mechanobiology, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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Matlab or Python Previous experience in Finite Element Analysis Application Procedure Informal enquiries are encouraged and should be addressed in the first instance to Professor Chris Martin (chris.martin
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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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(highly desirable). • Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). • You have an excellent command of written and spoken English. What we offer: Inspiring
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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international research sites Your Profile: Completed master’s degree in mechanical engineering, material science, physics or a related field Experience in modelling and simulation (e.g. Python) Willingness and
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tasks relevant to the project The following experience is beneficial experience with common scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc
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scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc students popularisation of science Specific Requirements Application procedure The information