312 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Switzerland
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work closely with Research Program Support teams (plus the external partners mentioned above). You will lead cross-functional and external experts and will have the authority to prioritize, redirect, and
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teams, its Research Program Support team, and the Geo-Intelligence team (plus the external partners mentioned above). You will lead cross-functional and external experts and will have the authority
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solvers, FDTD/FEM, coupled-mode theory, or PDE/ODE solvers) Interest in electromagnetic wave propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python
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student will contribute to a translational research program that aims to understand how daily stress and arousal states shape sleep physiology, recovery and health-relevant outcomes in real life
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questions related to the resilience of global supply chains to climate change. The doctorate will be conducted within the doctoral program of D-MTEC (Department of Management, Technology, and Economics) and
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; or Windows: batch/powershell) or in programming languages and tools (e.g. Python, git). Knowledge of ITIL or similar industry best practices (incident / change management). Your Profile: Bachelors in
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multifunctionalities in the optical path. The first part of this project will center around developing light-stimulated stiffness programming methods that surpass the performance of current variable stiffness benchmarks
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agents) to significantly accelerate coding practices, automate boilerplate code generation, and test plan creation. Designing and building robust CI/CD pipelines and automation systems that integrate AI
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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Possess a solid knowledge of and strong interest in economics and economic policy issues Have excellent quantitative and programming skills: strong knowledge of time series econometrics, forecasting methods