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Field
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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Spectroscopy, Raman Spectroscopy, Spectroscopic Ellipsometry, …) Ultrafast Femtosecond Time-Resolved Pump-Probe Spectroscopic Ellipsometry and Time-Resolved Photoluminescence Data evaluation (commercial software
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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comprise all aspects of applied mathematics, from model development and mathematical analysis to numerical implementation and statistical estimation of models as well as software packaging. What to expect
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partners. Applicants should fulfil the following requirements: A master’s degree in engineering or science, with a focus on computer/data systems, energy technology, software/hardware, information technology
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 22 days ago
distributed optimization with noisy communication channels, accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software
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://doi.org/10.1021/acssuschemeng.4c01820 ). The PhD candidate will then push the boundaries by developing and optimising the technique further, integrating with advanced instrumentation and custom software
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar