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: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical
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chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
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on human medicine by studying the impact of novel therapy, screening, or treatment models. Several projects are available and focus on topics such as a pilot project studying lung cancer screening in
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development and publication of numerous excellent research articles. Space instrument development experience is also a plus. A Ph.D. in Space Physics or a related field is required. The Term of appointment is
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, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence
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scientific discipline. • First-rate analytical and numerical skills, with a well-rounded academic background. •Demonstrated ability to develop precision mechanical devices/mechatronics •Ability to develop kinematic and
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light orientation—to form and maintain swarms. To complement the fieldwork, you will conduct lab experiments on a model species (e.g. Culex pipiens) to test specific hypotheses about sensory-driven flight
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be testing and optimising predictive models for use in realistic healthcare settings. This studentship will suit a student interested in working in health data science, particularly with an interest in
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
efficacy studies in relevant mouse models. These studies will expose the successful candidate to cutting-edge prime editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid
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in a discipline related to “Greenhouse gas emissions modelling; Reduced-complexity modelling of the land surface carbon cycle; Climate modelling; Climate mitigation modelling”; demonstrate expertise in