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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the recruitment process we will place great emphasis on the candidate’s
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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engineering Automatic control Mechatronics Robotics Artificial intelligence Demonstrated research experience in robot control and, more generally, complex systems Strong programming skills (e.g. C/C++, Python
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong
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-tier venues. Strong programming skills, preferably in Python and PyTorch. Strong written and verbal communication skills in English. The following experience will strengthen your application
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-field fracture modelling, contact and micromechanics of particulate or composite materials, mechanical testing and X-ray tomography, and programming (e.g. Python, C++ or Fortran). An innovative mindset