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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
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/organismal-biology/research/human-evolution and Torsten Günther’s group, visit https://www.gunther-lab.org Duties The postdoc will analyze temporal genomic data from humans and livestock species, and develop
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various versions of ProQ. The group comprises 5 PhD students, one postdoc, and one senior researcher. Qualification requirements Requirements are: Doctoral degree including work in machine learning applied
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. SciLifeLab SciLifeLab is an academic collaboration between multiple Swedish universities