We are pleased to welcome Josh Moore (German BioImaging e.V. / Open Microscopy Environment Consortium) on January 23, 2025 at 2:15 PM in Goldschmidtstraße 1, Room 1.130. His lecture, entitled “Scalable strategies for a next-generation of FAIR bioimaging”, addresses the challenges facing the bioimaging community regarding increasingly large and complex image datasets. It also outlines strategies to implement the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) through cloud-native formats and effective metadata management.
Afterwards, there will be a get-together in Goldschmidtstraße 1, Room 2.143. We cordially invite everyone who is interested to join!
The Campus Institute Data Science (CIDAS) is looking to strengthen its team by hiring an IT staff member. You will be supporting the development and maintenance of central IT infrastructures as well as the further development of data science services. Are you interested in working in an interdisciplinary environment and shaping new technologies?
You can find further details about the position and information on the application process here:
Die Universitätsmedizin Göttingen (UMG) etabliert im CAIMed-Verbund eine Nachwuchsgruppe im Cluster „KI und Semantik“. Schwerpunkte sind die Entwicklung und Validierung von KI-Verfahren für die digitale Bilddiagnostik mit Blockchain-Technologien. Angesiedelt an der Professur für Digitale Pathologie, bietet die Position ein dynamisches, interdisziplinäres Umfeld für innovative Forschung.
Prof. Dr. Fabian Sinz, a member of the Campus-Institut Data Science (CIDAS), has been awarded an ERC Consolidator Grant for his “Vision2Action” project. Using a “digital twin” of the mouse brain, he investigates how movement influences the processing of visual stimuli. By applying innovative AI methods, the project seeks to provide novel insights into how motion and perception interact.
Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is interdisciplinary by nature combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD Programme in Data Science (PDS) targets PhD students that work in data science in a broad sense, i.e. ranging from foundations over empirical applications to the societal implications of data science.
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