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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and postdoc positions. INTEGREAT develops theories, methods, models and algorithms that integrate
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activity in ulcerative colitis patients with transcriptional changes in a longitudinal patient cohort, develop deconvolution algorithms, extract features from H&E sections etc. Bacterial metabolism and host
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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distribution of tasks Continuously evaluate and optimise resource utilisation to improve efficiency Laboratory Management Oversee and coordinate the technical support of research and education activities
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/ Ability to develop new AI algorithms and statistical methods / Experience with large-scale biobank or cohort data. Strong background in Health Economics and Health Policy / Focus on Health Technology
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algorithms. This is a hands-on opportunity to apply state-of-the-art methods to patient samples within the largest and most advanced scientific organization in Germany. Learn more about us and our work here
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Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and
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DevOps Engineer (f/m/d) - Cloud Infrastructure and Data Services / Completed university studies (...
, Apptainer, Kubernetes) # OpenStack cloud platform and its components # Proxmox virtualization platform and its components # Basic knowledge in # Complex and distributed networks (Desgin, protocols, etc
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within the Research Area of Inflammation at CMM. Develop new analytical algorithms to address complex, high-dimensional data. Engage in local collaborations at Karolinska Institutet and with external