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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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platforms, supporting user studies, and contributing to innovative projects that explore the future of human-centred technology. Information about the division/the project The Department of Computer Science
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- 10 Research FieldChemistryYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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within a Research Infrastructure? No Offer Description Job description The rapid growth of artificial intelligence (AI) is driving an unprecedented demand for large-scale AI data centers, creating new
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about 115 people of which 9 are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http
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industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support
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to invoke (grades, contact information for professional references, letters of recommendation etc). Where to apply Website https://lu.varbi.com/en/what:job/jobID:952596/type:job/where:39/apply:1 Requirements