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, e.g in a GPU architecture, and their applications to magnetic phenomena is meriting. About the employment The employment is a temporary position of two years according to central collective agreement
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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for research and education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organisation with 70 employees and visiting researchers from more than 20
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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://www.toyota-ti.ac.jp/Lab/kde/en/ [Work content and job description] You will engage in research on foundational technologies for pre-training, distillation, acceleration, and improvement, aiming
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at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration. Access to state-of-the-art live-cell imaging, microfluidics, laboratory automation, and GPU