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Field
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career-promoting work Required selection criteria Doctoral degree (PhD or equivalent) in Political Science, Sociology, or Media and Communication Research (or other relevant fields) You must have completed
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Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data
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computer simulations Test the methods via lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: A PhD degree in control systems engineering
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the Act on Control of the Export of Strategic Goods, Services, and Technology, etc. Candidates who, after evaluation of the application and attachments, are found to conflict with the criteria of the act
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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Engineering, or related disciplines, preferably a PhD in Mechatronics/Robotics Knowledge of kinematic, static, and dynamic analysis, and control solutions related to continuum robots Strong evidence of
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
for droplet flow control Apply for this job See advertisement About the position A PhD Research Fellowship is available at the Department of Mathematics in the research group of Prof. Andreas Carlson
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and master's level in engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's
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Requirements PhD in Engineering field (Aerospace, Mechanical, or Electrical) or Science field (Computer Science or Applied Mathematics) with research focus on one or more of the following: dynamics and control
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innovative, plant-focused resistance strategies. This project will focus on studying radiata pine and P. pluvialis, with emphasis on applying RNA silencing for pathogen control and optimising high-throughput