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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer
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/RNA-seq data Collaborate closely with experimental researchers to guide sequencing strategies and interpret biological relevance of computational findings Contribute to publications in high-impact
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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to the development of novel tools for cancer risk assessment with real potential impact on healthcare. Qualifications Requirements A doctoral degree or an equivalent foreign degree in computer science, statistics
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- 22:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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- 22:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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-impact/well-established journals Demonstrated ability to attract external research funding Experience with computer vision and 3D imaging. Experience with data engineering and setting up routines for data
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approaches to identify, assess and manage chemical risks in water. In this project, funded by Water Wise Societies (Impact Innovation programme), we will work with the water sector to develop a new praxis for
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large interdisciplinary consortium and is expected to actively participate in conceptual development, high-impact scientific publication, and international research collaboration. Eligibility Candidates