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Professor (tenure-track) and/or Associate Professor levels with a focus on Data Science and Machine Learning. The expected starting date is summer 2026, with room for flexibility. Depending on the profile
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, preferably using Nextflow. Collaborate with platform data scientists and researchers to develop reproducible analytical pipelines. Assist in applying machine learning and AI methods to multi-omics datasets
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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objectives involving research, code development, supporting software and consulting with scientists. Other relevant qualifications (not required): Bsc in Computer Sciences. Experience with DevOps practices
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, or a related field) A relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine
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well as experience in automated fabrication and mechanical characterization. A solid background in modelling and system identification is essential, with particular emphasis on data-driven and machine-learning–based
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of machine learning and earth observation within the general study