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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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. The researchers have access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and
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and targeting specific applications. Job Duties The job duties will be the following: Optimise stacks and processes towards the production of new sensing devices beyond current state-of-the-art; Micro
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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per km up to a maximum of 40 km each way. Do you prefer walking or cycling? Take advantage of our good bike scheme. Moreover, you will receive a reimbursement of €0.18 per km. Watch this video with
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
multi-physics modelling of electrochemical processes can be a plus. We value candidates who are collaborative team players, intellectually curious, and open to exploring new research directions. A track
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can