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Field
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related field. The candidate should have excellent programming skills (e.g., Python), expertise in machine learning and fluency in English (speech and writing). Prior knowledge of neuroscience and/or deep
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, computational linguistics with a keen interest in robotics and AI). Good programming skills are essential (Python, C++ or other) as you will programming robots and state-of-the-art AI systems. We also require
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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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, 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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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