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”. - Academic records at master's and PhD's levels. - Previous experience in the design of electronic circuits. - Motivation for working in the program and abilities for dissemination, writing scientific papers
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molecular conformations, interactions, and enzyme activity. Applicants should hold (or be near completion of) a PhD in a relevant area of biological or physical science and have the ability to independently
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well as for the education of highly qualified young scientists. The Photo-Injector Test facility at DESY in Zeuthen (PITZ, near Berlin) focuses on the development of high brightness electron sources for Free Electron Lasers
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of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD
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publications. To have an informal discussion please email Prof Glenn Parry Candidates in the final stages of completing their PhDs are encouraged to apply only if you will complete by September 2024, or shortly
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. Further experimental studies might complement these core findings. Qualifications related to these methods and research experience with sustainable behaviour change/informational needs are advantageous
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Mechanics Lab. - Opportunity to supervise and mentor MSc and PhD students. - Competitive salary and employment conditions. Application procedure: Please email a single PDF consisting of: - Curriculum vitae
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of data from electronic health record with physiological signals to develop predictive models, modeling/analysis of invasive neurophysiological signals from patients with acute brain injury (in particular
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or Equivalent Desired Education: PhD in Electronics Required Experience: Robotics programming. Manufacturing of metallic medical devices. Handling heated polymers. High power (>220V) electrical equipment
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chemical research, developing and implementing novel methods for interpretable, safe, and aligned machine learning systems. You should possess a PhD or DPhil (or near completion of) in Machine Learning. You