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Field
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for An enthusiastic, self-motivated individual with an interest in empirical and modelling work to test out new reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems
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, experience with programming (e.g., MATLAB, Python) is highly desirable Highly motivated, independent, and able to work effectively as part of a team Proficiency in English (both written and spoken
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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project focus. Technical computing skills: Strong programming skills (e.g. Python, C++, MATLAB). Experience with robotics software frameworks such as ROS, Gazebo, or other simulation environments is
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software frameworks (ROS, MATLAB/Simulink, Gazebo, or other simulators) and development of experimental platforms is expected. Soft skills: Excellent communication skills in English, both written and oral
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of the following topics will be a plus: Application of machine learning to power grids/cyber-physical systems Knowledge of working with MATLAB/Python Power grid optimisation/control Experience working with power
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, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved or be expecting to achieve a 1st or a 2:1 in an
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reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems that can effectively produce MOFs. We are looking for a graduate expecting a 1st or a 2:1 in chemistry
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, training, and collaboration Preferably a strong background in aircraft design and propulsion systems Preferably Proficient in programming (MATLAB preferred; Python is also acceptable) Prior experience with
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modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not essential. However