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in the top 10% of their cohort. Proficiency in software engineering and knowledge of python are a plus. You should be a native speaker of English or Dutch, or provide proof of English proficiency
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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have proven experience with modelling and system identification of mechatronic systems. You have proven experience in Python and/or MATLAB. You have experience in or understanding of physics-based
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control & automation, robotics. You have proven experience with the control, modelling and simulation of mechatronic & robotic systems. You have proven experience in Python and/or MATLAB. You have
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
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, preferably with continuum damage mechanics and/or phase field modelling. You have proven experience in using ABAQUS and/or COMSOL, preferably with programming skills using Fortran/Python. You have a team
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
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techniques. User of engineering software and modelling languages, such as, Python, MATLAB Toolbox, LabVIEW, DaisyLab, C++….. Working in interdisciplinary environments, good contextual understanding