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identify novel drug targets. They will be trained in a variety of powerful, modern analytic techniques including metabolomics, transcriptomics, and proteomics and work on advanced biological systems
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: excellent, very good or good university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport planning and/or data analytics Description of the PhD topic
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is considered a strong asset Strong analytical and critical thinking skills High motivation and a keen interest in neuroglial biology Ability to work both independently and collaboratively in a team
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 4 hours ago
, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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Methodologies: o Design detection and dosimetry systems tailored to the specific needs of the phosphate industry. o Innovate analytical methodologies to identify optimization opportunities. 4. Training
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. Qualifications The applicants should possess: An excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines Strong analytical
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independently. Excellent Analytical skills and strong verbal and written communication skills are also essential requirements. A Masters qualification is not required if you have a minimum 2:1 degree or can
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. In-depth knowledge of hemodynamics, particularly in the context of coronary artery disease and cardiovascular flow phenomena. Strong analytical skills and the ability to interpret complex simulation
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eager to adopt practical solutions. The student will also benefit from the Cranfield Environment Analytical Facility providing access to state of the art chemical and genomics equipment. The findings will
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, deposition and characterisation tools, including bespoke burner-rig testing design for realistic thermal testing. Combination of experimental, analytical, and modelling training, ideal for interdisciplinary