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of waveforms for satellite communication and radar systems communication/radar system performance analysis using theory and simulation field tests in relevant operating conditions retrieval of geophysical
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at top machine learning venues. The project involves collecting and curating a MSI benchmark in the first year targeted for NeurIPS 2026 to be then used as the test-bed for the developed ML techniques in
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of small cryptic plasmids in the development and spread of antibiotic resistance, and ii) Use machine learning tools to examine the complex interplay between bacterial hosts, various plasmids and resistance
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for Nymphalinae butterflies, apply recent methods to predict interactions, and test these predictions by rearing caterpillars of various butterfly species on the predicted host plants. The project will result in a
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Health Research and Policy-Work on Post-Covid-19 Syndrome ’ . Specifically, you will be working in the subproject ‘A Novel Model for Policy-Work’. One of the aims of this subproject is to examine what is
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for Nymphalinae butterflies, apply recent methods to predict interactions, and test these predictions by rearing caterpillars of various butterfly species on the predicted host plants. The project will result in a
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immunogens for new vaccines, but also exploring other applications. Another aim is to use the properties specific to some of the methods we are developing to try and improve secondary model use cases, such as
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their results from the GMAT (and/or GRE) and TOEFL tests if available. Documented skills in using quantitative methods such as Mathematics and Econometrics is a merit. Application The application shall contain
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: • Copies of bachelor and/or master’s thesis. • Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results. Use the button at the foot of the page to reach