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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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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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adapt code for real-world data. Preferred Knowledge, Skills, and Abilities: Familiarity with compressed sensing and/or convex optimization (e.g., total variation minimization). Expertise in Python
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achievements, technical hobby projects (photos/videos) and list of publications. A separate motivation letter stating why the proposed research topic interests you. (Optionally) (draft) PhD dissertation
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cooperation. Click here to go to the website 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
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faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract is 18 months Temporary A job of 38-40 hours per week. Salary and benefits
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technical devices enabling this to be conducted remotely, with simultaneous video and audio transmission. If more than one candidate meets the competition requirements, the Recruitment Committee may decide to
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
. Responsibilities for this position includes:* Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your expertise in statistics and machine learning
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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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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely