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questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational pipelines
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appointed 0.4fte. Key responsibilities include: Designing and delivering learning that prepares students for the responsibilities of senior clinical placements and Foundation Year (FY) training. Developing
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through mentoring, peer leadership and the promotion of consistent engineering practices across Digital Services. Mōu | Who You Are You will have deep technical experience in cloud, infrastructure, systems
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of computational pipelines and reproducible workflows for the analysis of biological and biomedical data using deep learning techniques; • promotion of technology transfer and support for the University's research
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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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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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• Ph.D. in a relevant quantitative or computational discipline • Experience with multi-OMICs data integration (e.g., transcriptomics, proteomics, metabolomics) • Experience with machine learning, deep
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of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Shape the future
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. The research project focuses on the design, development and validation of Artificial Intelligence and Machine/Deep Learning models applied to healthcare, with particular reference to computer vision applied