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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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projects in the marine domain. We envision that you harness the power of AI, specifically in computer vision applications, as well as sensor technology to enhance fisheries, aquaculture and ecological
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purposes. Our faculty is dedicated to developing innovative informatics solutions including data science, artificial intelligence, and machine learning to support and accelerate translational and clinical
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
Skills required: Knowledge: In-depth knowledge in control theory, robotics and computer vision. Solid experience in C++, Python and ROS. Experience in visual servoing and 3D visual perception with RGB-D
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of machine learning within the field of droplet microfluidics. Our overall vision is to introduce disruptive technologies that challenges the status quo. The student will also work within the Biomedical
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to candidates with experience in applying and implementing statistical and machine learning methodologies across multiple fields. Applicants should hold a Ph.D. in statistics, data science, or a related
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) in materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials
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) in materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials
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engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and device fabrication; knowledge in neuromorphic
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of mobile robot navigation principles Strong skills in data analytics, computer vision and machine learning Skills in scientific writing Applicants who have recently graduated with excellent results may be