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infrastructure 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
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Responsibilities: Develop and apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and
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. Strong expertise in machine learning and deep learning, with demonstrated experience in one or more of the following areas: computer vision, markerless pose estimation, movement analysis, behavioural
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the development of computational pipelines and reproducible workflows for the analysis of biological and biomedical data using deep learning techniques; • promotion of technology transfer and support
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for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning and foundation models, including experience with pre-trained
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years) Openings: Several Natural Intelligence (NISYS GmbH) , a newly founded deep-tech startup at the intersection of neuroscience and machine learning, invites applications for a Senior Research
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carried out at the Department of Information and Communications Engineering, DICE , at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning, speech
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collection settings (preschools, homes) using a variety of methods (child-centered wearables, deep learning, fNIRS, eyetracking). The postdoc will primarily be mentored by Meg Cychosz (Linguistics), but
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achieved using sophisticated machine learning and Deep Learning image analysis approaches. The Research Assistant will train, deploy and evaluate Deep Learning models to predict the location of malaria
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framework for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI