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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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. Proficiency in software development for robotics (Python and/or C++), including integration of perception and control, is another plus. Knowledge of state estimation, sensor fusion or active sensing frameworks
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and broaden your knowledge through a curious and scientific mindset. Proficiency in scientific programming (Python and/or MATLAB) and experience with C/C++ are an advantage. You have the ability
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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programming languages such as Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is highly desirable strong interest in interdisciplinary research combining imaging, machine
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bring technical affinity and interest in improving experimental setups, along with basic programming or data-analysis skills (e.g., Python, MATLAB, or R); You have strong communication skills in English
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measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly
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Physics. Skills in Python and/or MATLAB programming are highly desirable, as are skills in both verbal and written communication in English.The PhD programme will be supervised by Dr Finnigan Illsley-Kemp
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effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching