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background in control and electromechanical engineering, having knowledge in real-world mechatronic applications and has system identification and modeling experience. You are quick-witted, have an appetite
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highly motivated and talented individual with at least some background in mechanical engineering, having knowledge in robotic applications and has modeling and control experience. You are quick-witted
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. Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling
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knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling
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instance (agricultural) engineering, ICT, etc. • You are highly interested in the technical land organisational aspects of agriculture and you are willing to get more knowledge on these aspects via trainings
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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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machine learning and data analysis is a definite plus. Programming skills (Java or Python) are required. Good written and oral English skills are required and knowledge of the Dutch language is a plus. WHAT
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or electrical engineering. You are motivated, creative and have a passion for academic research. You have an affinity with both experimental research and simulation software. You have a strong technical knowledge
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; knowledge of Dutch is a plus but not mandatory. FELASA certification (B or C) is a plus, but can be obtained during the project. Having knowledge of or a strong interest in Machine Learning (ML) is a plus
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of production processes, there is still a knowledge gap on the environmental impact of, for example, pharmaceutical biomanufacturing. Prospective sustainability assessment of pharmaceuticals in early development