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Field
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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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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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to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Postdoctoral Research Fellow position
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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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of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract
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formats: video recording, online or onsite. The question based interview will evaluate the match between the candidate’s profile and the requirements for the position, including the technical and personal