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the excitement of a bleeding-edge scientific laboratory and welcome the challenge of serving as a steady consistent imaging and computational scientist role in a fast-paced environment. Those who will thrive in
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-resolution NMR studies in liquids and NMR experiments using field gradients such as imaging or diffusion studies. Own experimental research on materials is an important part of the position. An important focus
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must
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experimental and theoritical topics related to space remote sensing (such as hyperspectral imaging, surface polarimetry, full Stokes vector analysis,…) applied to earth observation and well as planetary
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Computing Associate (SCA) position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software
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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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Job Description The Department of Chemical Engineering (ChemE) has more than 26 faculty, 16 postdocs, and 14 staff. The University of Washington is committed to fostering an inclusive, respectful
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are notified of the composition of the committee, and each applicant can comment on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https
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full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning