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Number BAP-2024-252 Is the Job related to staff position within a Research Infrastructure? No Offer Description The project centers around developing legged, mobile robots for applications in forestry and
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background and a Ph.D. in Geomatics, Robotics, Computer Science, Artificial Intelligence, Mathematics. You show particular interest in applied science-technology, and you have an affinity with
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learning to quickly draw actionable insights from various data streams. Stream Reasoning has numerous applications, such as in autonomous vehicles, robotics, web analytics, and the Internet of Things. In
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to work independently together with advanced problem-solving skills. • Experience with high-throughput assay automation, including liquid handling robotics and microfluidics, is a plus. • Experience with
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applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex
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digital transformations in the domain of artificial intelligence, robotics, self-learning/smart algorithms, big data, data spaces, SOLID, blockchain. You are fascinated by the impact of technological
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company after its creation Eligibility criteria Although not restricted to these, you preferably have a background and a Ph.D. in Geomatics, Robotics, Computer Science, Artificial Intelligence
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, including liquid handling robotics and microfluidics, is a plus. • Experience with analyzing and reporting on large-scale datasets and/or single-cell (multi-)omics data is a plus Selection process For more
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-solving skills. • Experience with high-throughput assay automation, including liquid handling robotics and microfluidics, is a plus. • Experience with analyzing and reporting on large-scale datasets and/or
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control and learning in children with uCP by focussing on an in-depth quantification using innovative robotic (Kinarm) and instrumented assessments with special focus on the structure of variability on a