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WANTED: Assistant Professor in Computer Vision and Image Processing at the Department of Advanced Computing Sciences (DACS) at Maastricht University. https://lnkd.in/eE_RX7zS Are you eager to contribute to new developments in deep-learning computer vision to advance our understanding of visual computing, and how to use it to solve complex problems? Are you passionate about creating versatile algorithms that can gain information from real world images and videos? Are you curious to understand how patterns can be detected from images and videos using deep-learning methods, and how those methods can be interpreted? Do you value seeing your research applied to real-world challenges from different domains (like agriculture, healthcare or manufacturing) to address urgent societal needs? If you see yourself making an impact in any of these areas – or you have other interesting computer vision and image processing topics to bring to the table – you should consider joining our Department of Advanced Computing Sciences (DACS) as an Assistant Professor in Computer Vision. You can apply here: https://lnkd.in/eckkWNtJ Are you interested in this exciting position but still have questions? Feel free to contact Prof. Dr. Mark Winands (m.winands@maastrichtuniversity.nl), Professor in Machine Reasoning Chair of Department of Advanced Computing Sciences, for more information. Maastricht University - Faculty of Science and Engineering, Aleksandra Draper Crissie Gielissen Alumni Officer DACS #umdatascience #datascience #advancedcomputing #computingsciences #computing #science #engineering #postdocposition #computervision #imageprocessing #deeplearning

An excellent opportunity to develop the next generation quantum safe algorithms that can help to maximise the true potential of AI. #postdoc #quantumai #quantumcomputing

The Conversation: Unequal Access To Quantum Information Education May Limit Progress In This Emerging Field − Now Is The Time To Improve 🔽 ♦ A team of researchers write about their investigation into whether students from all backgrounds in the U.S. have equal access to quantum information science education. ♦ The team found that courses were more likely to be found at large, private universities. https://lnkd.in/eCr5kkrV #EducationAccess #Quantum #PrivateUniversities

Traditionally, in recent centuries, knowledge is produced in universities and research centers, and after a few years will be used in the industry. In modern world, the gap between university and industry has been reduced- especially in computer science. This fact emphasizes the importance of addressing scientific bases with an academic perspective for those engaged in the industry. In addition, it is highly needed for academic students and researchers to become familiar with industry challenges and requirements. so in your future studies, consider this matter.

We are thrilled to be part of the DeiC Interactive HPC Consortium, helping to democratise supercomputing access for researchers across all disciplines. With over 10,000 users, DeiC Interactive HPC, also known as UCloud, is revolutionising the way researchers and students engage with advanced computing resources. By providing a user-friendly interface, DeiC Interactive HPC breaks down technical barriers, allowing anyone with a dataset and vision to harness the power of supercomputing. This facility supports dynamic research and fosters collaboration, driving innovation from bioinformatics to digital humanities. We are especially proud of the growing diversity among our users, with 50% being students. This not only introduces the next generation to STEM fields but also enriches the HPC community with fresh perspectives. Learn more about DeiC Interactive HPC and the very succesful collaboration between Aalborg Universitet, CLAAUDIA, Syddansk Universitet - University of Southern Denmark, SDU eScience Center, and Aarhus Universitet, Center for Humanities Computing in our news story: "DeiC Interactive HPC Revolutionises Interdisciplinary Research with User-Friendly Supercomputing Access" 🔗 Link to story: https://lnkd.in/dxDiFmH9 #DeiCInteractiveHPC #Supercomputing #ResearchInnovation #STEM #InclusiveTechnology #CenterForHumanitiesComputing Uddannelses- og Forskningsstyrelsen Uddannelses- og Forskningsministeriet

As a computer scientist and professor, I believe that it is important to return to the principles of cybernetics within higher education to allow a clearer overview of the applications in engineering to students and also in postgraduate studies since I believe it would help to improve interdisciplinarity of the research, I would like to know what you think?

DEADLINE ALERT for the vacancy "Assistant Professor in Computer Vision and Image Processing" at the Department of Advanced Computing Sciences (DACS) at Maastricht University. https://lnkd.in/eE_RX7zS Are you eager to contribute to new developments in deep-learning computer vision to advance our understanding of visual computing, and how to use it to solve complex problems? Are you passionate about creating versatile algorithms that can gain information from real world images and videos? Are you curious to understand how patterns can be detected from images and videos using deep-learning methods, and how those methods can be interpreted? Do you value seeing your research applied to real-world challenges from different domains (like agriculture, healthcare or manufacturing) to address urgent societal needs? If you see yourself making an impact in any of these areas – or you have other interesting computer vision and image processing topics to bring to the table – you should consider joining our Department of Advanced Computing Sciences (DACS) as an Assistant Professor in Computer Vision. You can apply here: https://lnkd.in/eckkWNtJ Are you interested in this exciting position but still have questions? Feel free to contact Prof. Dr. Mark Winands (m.winands@maastrichtuniversity.nl), Professor in Machine Reasoning Chair of Department of Advanced Computing Sciences, for more information. Maastricht University - Faculty of Science and Engineering, Aleksandra Draper Crissie Gielissen Alumni Officer DACS #umdatascience #datascience #advancedcomputing #computingsciences #computing #science #engineering #postdocposition #computervision #imageprocessing #deeplearning

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Positions are available in remote sensing realted topics D1 - Advanced radar sounder data processing and information extraction D2 - Artificial intelligence and machine learning for the automatic analysis of planetary radar data D3 - Deep learning for the automatic analysis of satellite remote sensing images

🎓 Sharing my final PhD research poster which summarizes three years of work at Politecnico di Torino on enhancing human-AI interaction. The poster outlines my contributions across different domains where AI can help transform human representations (like sketches and natural language) into interactive systems - from web development tools to educational interfaces and smart home automation. The poster will be presented at the PhD Computer and Control Engineering - DAUIN Politecnico di Torino Poster Day on November 6th, 2024 at the Department of Control and Computer Engineering.