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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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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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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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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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, 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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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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Python and are fluent using GitHub in a team setting. You have basic working knowledge on fundamental computer vision tasks such as temporal and spatial segmentation as well as stereo vision. You have
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, computer science or quantitative criminology; The diploma requirements must be met by the time of appointment. • Intermediate programming skills (e.g., Python or R), as well as a willingness to develop these further
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, or in a related discipline Profound data processing and image analysis skills Good knowledge in programming, ideally in Python Ability to work self-reliant and to collaborate in a team of scientists
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, but not a requirement Knowledge of programming languages such as R, Matlab or Python. Experience with the linux/unix environment and handling large datasets is a plus. A good command of English, both