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of chloroplast processes? Do you want to breakthrough the molecular signaling cascades involved in inter-organellar communication for photosynthesis? Are you excited to work in a vibrant, international team of
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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
years. The application deadline for the position is June 1st, 2025. Applicants should apply online via our recruitment system by sending a letter of interest and a CV, as well as indicate at least two
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grade point average of at least 8.2 on the Danish 7-point grading scale for the bachelor's and master's degree combined or alternatively a weighted grade point average must be at least 9.5 for the
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assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful
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, dedicated to understanding the structure, processes, and habitability of exoplanets. Our research is highly interdisciplinary, combining the expertise and methodologies of the Earth and Planetary Sciences
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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to stimulate genetically modified neurons. Traditional brain implants are made of metals like platinum and iridium, which severely limit miniaturisation and signal resolution and, as a result, cause
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: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software
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for candidates with exceptional skills and grades in engineering or physics and/or computer science and/or signal processing, with the strong and proven knowledge of machine learning and/or some expertise in