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round of its international recruitment campaign to appoint the Founding Heads of its Research Development Labs. Two parallel calls are open: GENERAL CALL https://ai4i.it
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experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a
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FUBLUC (ca. 20 participants) that aims to (i) understand the blue carbon potential of Fucus meadows in the Baltic Sea and (ii) to develop methods to restore Fucus algal meadows in degraded habitats
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challenge. We welcome applications from candidates who have the potential to set up an innovative and internationally oriented research program aimed at elucidating the role and directing the use of microbes
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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national and 11 provincial and ministerial projects, published over 300 SCI-indexed papers, and garnered numerous national and provincial accolades. We invite talented individuals to join us in forging a
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
environment in proteomics, protein chemistry, biomolecular mass spectrometry, and computational proteomics. Qualifications We are looking for a highly motivated and enthusiastic candidate with excellent
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to overall material behavior. Examples for suitable experimental methods are optical and mechanical measurements on particulate systems. We look forward to future collaborations with existing research groups
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism