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University that focuses on the development, integration and evaluation of novel aircraft and propulsion technologies. The team at Cranfield University has extensive experience on the development and
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Royal HaskoningDHV, along with Newcastle University, Cranfield University, Jacobs, Mott MacDonald, Farmiloe Fisher and Northumbrian Water Ltd. This consortium combines academic excellence with
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geophysical datasets. The main supervisor will be Prof. Fabio Cammarano (Roma Tre University). The student will analyze and interpret seismic and gravity data sensitive to the crustal structure. The skills
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to contribute (~10% of total workload) to the teaching and supervision of Bachelor and Master students. The position will be supervised by Prof. Nima Monshizadeh and Prof. Bayu Jayawardhana, and the candidate
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. The project aims at high-density low-power-consumption sensors, departing from and improving conventional magnetoresistive sensors. Candidate with University Master degree (mandatory) with following profile
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pharmacodynamic data analysis. Project background The project's main objective is to extract and analyze large amounts of pharmacodynamic data from various sources and design a user-friendly database. Through
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background The main objective of the project is to develop a polygenic model to investigate the mechanisms underlying drug resistance evolution, focusing in particular on ploidy, reproductive mode and
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systems. If you are interested in these topics, we encourage you to apply! Qualifications and personal qualities: Qualifications and personal qualities: Applicants must hold a master's degree or equivalent
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must hold a master's degree or equivalent education in theoretical physics or must have submitted his/her master's thesis for assessment prior to the application deadline. Master students can apply
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countries. Our mission is to educate, investigate and present a broad range of topics within theoretical and practical sport science. Our Bachelor's degree, Master's degree and PhD programmes aim to be