25 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Southern Denmark in Denmark
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of education and philosophy of technology). It has attracted a substantial amount of external funding in recent years and is strongly involved in interdisciplinary collaboration. The SDU Philosophy Section is
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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include: A letter stating your specific interest, motivation, and qualifications for the project (400 words). Curriculum Vitae with applicant's e-mail and phone number Documentation of qualifications
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Job Description The Center for Life Cycle Engineering at the Department of Green Technology, University of Southern Denmark, invites applications for a 2-year postdoctoral position focused
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hearing and vision (‘dual-sensory’) loss. Because these losses are typically handled separately, the ‘true’ handicap caused by them is underestimated. Furthermore, because routine diagnostic tests focus
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meeting the criteria for both positions are encouraged to apply for both positions separately. Project description Many adults suffer from hearing and vision (‘dual-sensory’) loss. Because these losses
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National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research environment in mass spectrometry
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asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage
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and the Linux programming environment. Candidates with background in Physics, Physical Chemistry and Engineering are desirable. Candidates with only prior experience in empirical methods like docking