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Develop and implement advanced data analysis algorithms and artificial intelligence methods Analyze data from LIGO/Virgo/KAGRA detectors to search for and characterize gravitational wave signals Collaborate
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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payment for that month). 2.5. Tasks to be carried out: Developing deep learning methods for processing multimodal data and data for analysing temporal information. Developing computer vision algorithms with
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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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oppdatert 24.03.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from
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Mechanics, University of Warsaw, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl
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century. Join the Centre de Résonance Magnétique des Systèmes Biologiques (CRMSB ) – of the University of Bordeaux! This mixed research unit develops research themes in the field of MRI methodology and
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical