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Field
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operating systems, C, C++, VBA, MATLAB, PYTHON. Successful candidates will also have a keen understanding of ultrasound concepts with hands-on experience and at least a master's degree with a focus on digital
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Developing codes and ML models Maintaining Database Collecting pilot data for potential new projects Required Qualifications Experience in Machine Learning with expertise in Python and MATLAB Passionate in
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, and lab organisation Programming of experimental tasks and basic data analysis in R, Python, Matlab or similar Contributing to manuscripts for publication Assisting other colleagues in their research
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learning techniques relevant to energy forecasting. 3) Technical Proficiency Skilled in tools such as Python, R, MATLAB, SQL, and Excel; familiarity with energy modelling software is a plus. 4) Domain
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knowledge of Lithium-ion battery Good numerical simulation skills Good programming skills (Matlab, C++ or Python) Proficiency in English for research work We regret to inform that only shortlisted candidates
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experience including MATLAB, R and Fortran, along with experience with High Performing Computing (HPC) environments. • Peer-reviewed publication record • Strong written and verbal
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Biology, Physiological Sciences, or a related field plus three (3) years of experience in a related position. Experience must include three (3) years working with: (i) macaque monkeys; (ii) Matlab
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physics, environmental instrumentation and use of programming languages like MATLAB and R. Applicant would also be enthusiastic, with potential to be advanced to the PhD level. A valid driver’s license is
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to theory (20%) A review of relevant literature and theory on ice sheet resonances will be performed. Relevant theory will be coded in MATLAB (preferred) or Python (acceptable). Comparisons between theory
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generation. Proficiency in at least one programming language (e.g., Python, R, MATLAB). Familiarity with basic nucleic acid biology and an interest in synthetic biology. Strong attention to detail and