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Expected End Date Contact Information for Candidates Tonya Fotheringham, tonyah@arizona.edu Open Date 3/27/2026 Open Until Filled Yes Documents Needed to Apply Resume, Cover Letter, and One Additional
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vitae 2. Cover letter describing past, current, and future research interests 3. Contact information for up to three references This position is open until filled. Letters of reference will only be
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biochemical techniques Proficiency in computational biology and/or biomolecule structure determination Required Application Materials: Cover letter that includes: A description of at least one major project and
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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7 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 9 days ago
testing models using data from direct numerical simulations and experiments. Investigating whether machine learning can identify efficient control strategies for turbulent flows. Studying
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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27.03.2026, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe data-driven
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), automated testing, and documentation for open-source research software. Preferred Qualifications: ● Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural