218 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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visit our homepage . Expectations and qualifications Applicants must hold an MSc, DVM, or MD degree, and a PhD, with research experience within one or more of the following areas: Clinical or molecular
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directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in History, Cultural Studies, Anthropology, Sociology, Media Studies or related areas focusing on modern
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mentoring students. Qualification requirements The ideal candidate has: A PhD in bioinformatics, computational biology, biostatistics or metabolomics Proven expertise in omics data analysis A history of high
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electronics, fluidics system, and data collection hardware (based osingle-board computer systems, e.g., ESP32 or similar). Demonstrate prototype applicability under simulated lab-based and real-life conditions
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intentions and visions for the position are stated. A current curriculum vitae. Copies of relevant diplomas(Master of Science and PhD- both in english). Scientific qualifications. A complete list of
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
perspectives on the future of the biosphere - to learn more, please visit our website: ECONOVO - Center for Ecological Dynamics in a Novel Biosphere - Aarhus University (au.dk) Starting Date and Period The
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, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in 2010
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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record-keeping skills Proficient computer skills, including MS Office and research software programs Interest in working in a multidisciplinary and multicultural team Willing to collaborate with internal
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and