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development, we aim to shape the future of biomedical innovation. Job description PhD projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human
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with regional or global modeling is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations
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policy issues Have excellent quantitative and programming skills: strong knowledge of time series econometrics, forecasting methods, or have a strong interest in acquiring those Have experience or strong
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foundations in mathematics, statistics, and machine learning, combined with solid programming skills (e.g., Python) A strong interest in both foundational machine learning research and applications in
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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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to build, align, troubleshoot and operate a technically demanding experiment Experience with scientific programming and quantitative data analysis, preferably in Python, MATLAB, LabView, C/C++ or a
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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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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability