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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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Matlab, Python or similar Strong laboratory-based skills Application Procedure Informal enquiries are encouraged and should be addressed to Prof Daniel Eakins (daniel.eakins@eng.ox.ac.uk). Candidates must
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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(e.g., Python, or MATLAB, or C++; knowledge in ROS). Interest in robot control, learning, manipulation, and task planning. Preferred Experience with robotic hardware or simulation tools. Publications in
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in computer vision and intelligent transportation. Experience with tools such as MATLAB, Python or machine learning frameworks is highly desirable. Supervisor: Dr Ning Zhao (N.Zhao@bham.ac.uk
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programming skills (ideally C/C++ and Python/MATLAB or similar), good communication skills, the ability to work independently and a willingness to engage with industrial partners. To apply, please contact
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the development of good programming skills (Python/MATLAB or similar), good communication skills, the ability to work independently, and a willingness to engage with industrial partners. To apply, please contact
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substantial mathematical content. Skills in programming (MATLAB, Julia) and numerical bifurcation theory (e.g. DDE-BIFTOOL, MATCONT) are desirable. Background knowledge in one or more of dynamical systems
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, mathematics or related field. Experience with computer programming languages (e.g., MatLab, Phyton), familiarity with geographic information systems and systems thinking methodologies and an interest in