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knowledge and skills in the following areas: Life cycle analysis (in-house training possible at the start of the contract) Digital system consumption Networks and telecommunications Audio and video coding
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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Full Time, Fixed Term (31/07/2028) The closing date for applications is 23.59 on 10 October 2025 Interview Date : 20 October 2025 By reference to the applicable SOC code for this role, sponsorship
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch
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mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource scenarios with only
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committed to diversity and inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment. Zürcherstrasse 111, CH-8903 Birmensdorf Website Company-Video Where
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Salary range: 9 772,00 PLN (gross) Place of work: IPG PAS, Poznań, Poland Start date: 28.08.2025 Deadline for applications: 31.10.2025 Project: “Long non-coding RNAs as multifaceted players regulating
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video and get a glimpse of QuTech. Conditions of employment Duration of contract is 1 year, extendable to 3. A job of 36-40 hours per week. Salary and benefits are in accordance with the Collective
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rounds of interviews. The first interviews will be scheduled in the week of 20-24 October, 2025, per video call. The successful candidate would ideally be able to start working for Tilburg University