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Programming with Python is essential in many fields, but navigating packages, environments, and Integrated Development Environments (IDEs) can be challenging. This workshop is designed for those starting with Python or struggling with these aspects. It simplifies the process, providing practical guidance and hands-on activities to help participants confidently manage their Python setup and workflow.
Welcome to our dScience lunch seminar in the Science Library with Einar Broch Johnsen.
Welcome to the kick-off meeting of the research network DART: Digital Arctic Twins, funded by the University of the Arctic.
Welcome to the kick-off meeting of the research network DART: Digital Arctic Twins, funded by the University of the Arctic.
News
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Casting Light on Careers on WEEK? in the dScience Lounge Jan. 20, 2025 2:16 PM
On January 17, dScience hosted a full day of engaging sessions as part of WEEK?—Casting Light on Careers, designed to inspire and equip early career researchers. Held in the dScience lounge, this event brought together PhD candidates, postdocs, and researchers for valuable insights into career development.
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UiO opens second call for DSTrain Fellowships Jan. 7, 2025 11:01 AM
The University of Oslo (UiO) is now accepting applications for the second call of DSTrain postdoctoral fellowships. Up to 18 positions are available for researchers in computational and natural sciences. The fellowships start in autumn 2025.
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Green AI is Necessary for The Green Transition Dec. 10, 2024 10:17 AM
Relatively new methods and algorithms for machine learning, embedded in artificial intelligence (AI) systems, contribute to the green transition in society. At the same time, AI creates challenges, including high energy consumption, the need for water to cool an increasing number of larger data centers, and the extraction of minerals from vulnerable natural areas. Further digitalisation of society, which to a large extent revolves around the development and use of AI systems, must be made greener.
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Genome sequencing opens doors for public sector and industry collaboration Nov. 22, 2024 11:10 AM
Science Library, University of Oslo, November 21, 2024 – The dScience Lunch Seminar focused on the potential of genome sequencing to advance biodiversity research and its applications in public and industrial sectors. Speakers Anne Maria Eikeset, Lead Researcher at Norges Bank Investment Management, and Professor Kjetill S. Jakobsen of the University of Oslo, shared insights on recent developments and future possibilities. A video recording of the event is available.
Other relevant events
NORA events
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UiB AI Special: Quantum Technology Jan. 24, 2025 10:00 AM
What is quantum technology, and what can it be used for? The government is strengthening research on quantum technology from 2025, along three main tracks: quantum computing and simulation, quantum sensors and measurements, and quantum communication. In this seminar, we will look at developments in quantum technology and what it could mean for science and society.
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CuttingEdgeAI - AI in 2030: In public interest? Mar. 7, 2025 9:30 AM
NORA partner UiB AI will be hosting the next Cutting EdgeAI seminar, which will take place in the University Assembly Hall in Bergen. The seminar will gather some of the foremost AI researchers in Norway, to discuss where we stand research wise, what areas Norway has the opportunity to make its mark in, and what will happen in the world of AI moving forward. Where will the cutting edge of research be within different branches of AI in five years? And does AI represent public interest, for example when it comes to democracy, labour, welfare, environment and culture?
Integreat events
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Integreat Tuesday seminar: LaVonne Roberts and Eric Kern Jan. 21, 2025 2:15 PM
Restoring the Self: Personal LLMs as guardians of human identity and agency for people living with severe communication disorders
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Integreat Tuesday seminar: Marvin Wright Feb. 6, 2025 10:15 AM
Tuesday seminar on a Thursday
Tree-based generative modeling with applications in explainable AI
What is Computational Science and Data Science?
Computational science is about the development of methods and algorithms to solve and understand complex phenomena and problems. Data science is about the development of methods, algorithms and systems to organize, refine and extract knowledge from data. dScience merges computational science and data science.
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