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programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element modelling is an advantage. Background
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-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct-current-actuated regulation, electromagnetic programming of wireless expression
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
(desirable). Basic experience in scientific data analysis and programming (desirable). Our Benefits for You Team & Environment: You will work in a motivated team with an international and
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closely related field Strong interest in accelerator physics, electron sources and experimental work; experience with beam dynamics, lasers/optics, numerical modelling or scientific programming is an
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and medical imaging principles. No specific medical knowledge is required. Bonus: experience coding in Python or equivalent programming language. Downloading a copy of our Job Description Full
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have experience implementing scientific code and assessing computational results through validation, verification, and quantitative comparison with reference data. You have prior programming
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PhD student for High-ResolutionTime-Resolved Microstructural Evolution Under Ion Irradiation via TEM
science, or a related discipline, including: Background in solid-state physics and a demonstrated interest in experimental research Familiarity with scientific programming or atomistic simulations
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programming skills and experience implementing and quantitatively evaluating computational methods An interest in building real-time sensing and interactive systems , including experimentation with
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. Experience in Sub-Saharan Africa and with firms or entrepreneurs is strongly preferred. Practical experience with survey programming, field protocols, data-quality monitoring, and statistical software
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. Experience in Sub-Saharan Africa and with firms or entrepreneurs is strongly preferred. Practical experience with survey programming, field protocols, data-quality monitoring, and statistical software