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September 2027, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is required. Profile We welcome applications from highly motivated candidates with a background in
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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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Minimum required qualification : PhD (with more than 5 years of experience) in Biomedicine, Bioinformatics, Biotechnology, Genetics, Biology, Biochemistry, Medicine or a related field. Oral and written
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 13 days ago
conversion. Your profile PhD in electrochemistry, catalysis, surface science, physical chemistry, or a related field Excellent documented research record Experience working with flow cells, FTIR, as
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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, and artificial intelligence methods. Assess drought stress and identify physiological traits associated with drought tolerance using advanced imaging technologies. Develop machine learning and deep
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Job ID: 6217 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking
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quantitative microscopy. Ideal Candidate Qualifications: Candidates must have recently obtained (or will obtain before starting) a PhD from a biomedical research background. Experience in one or more areas of
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and