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spoken German and English skills Very good computer skills Interdisciplinary knowledge in the field of the dissertation Please enclose written reflections on your dissertation project with your application
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09265 Requirements Skills/Qualifications Theory Background in Database/Logic Know how to write a proof Computer training and
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informatics. Research strengths include intelligent systems, data analytics, cybersecurity, digital health, sustainability and human–computer interaction. The Faculty of IT at Monash University provides
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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or diploma degree in biomedical engineering, computer science, information & computer engineering or similar studies We Offer Interesting area of responsibility Collegial and friendly working atmosphere
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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, and the ability to participate collegially with a team. Effective critical thinking skills and understanding of complex data management principles. Basic computer skills in Microsoft Office and data
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interaction (HCI), it aims to identify the conditions of use, barriers, and facilitators specific to this population. Through a user-centered design approach, involving patients and healthcare professionals
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology