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://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University.
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” led by Prof. Rafał Szabla. This project focuses on understanding the mechanistic aspects of nonenzymatic RNA self-replication using methods of molecular dynamics and quantum chemistry. In particular
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of central venous pressure (CVP) remains challenging in both space and clinical settings. This PhD project aims to develop and validate a non-invasive ultrasound-based method to estimate venous pressure using
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. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall
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for this classification at the discretion of the supervisor. Equipment Operated: Computer and all other standard office equipment. Work Schedule: Typically, Monday through Friday. Primary Location: Youngstown Supervision
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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information on Professor Norman's lab, see https://compmem.princeton.edu. Questions should be directed to Professor Norman at knorman@princeton.edu. Applications should include a cover letter, a CV, and a list
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for publication or presentation to peers. Solves practical problems relating to difficulties with equipment or test subjects. Suggests technical or procedural improvements in testing methods. Conducts literature
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expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods. Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t