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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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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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://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments/ent/aass/ ) and Örebro University’s AI
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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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to emerge as the leading innovation center in the region. The research has broad applications in areas of health and industrial production of e.g. fine chemicals, food and energy. The department offers
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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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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
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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