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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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. The candidate should be willing to learn basic physical and numerical modeling methods. The successful candidate will demonstrate commitment to the timely completion of deliverables and strong potential to work
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 4 days ago
» is expressed on a numerical scale from 0 to 20 points. 5.8. The evaluation method using a «professional selection interview» may be waived by unanimous and duly justified decision of the Jury, in which
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury
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, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury
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— The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury deliberates by vote justified according