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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with
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closely related field, and a solid background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with
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experience (e.g., Python, Julia, etc.). Interest in the maritime research area in general, and more specifically, safety, risk assessment, and climate-smart technologies. Ability to work independently and in
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
experience testing for trace-amounts of contamination/impurities on MEMS structures to iron out false-positives in catalytic experiments. Experience in Python and LabView programming for developing new codes
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experiments Desirable: • Backend development (Python, Ruby, …) • Linux system administration (deployment, networking) • Experience with decentralized/self-hosted services, e.g. Mastodon, Nextcloud, Matrix
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Python programming skills are also required. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a
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wind energy systems. In particular, experience in one or more of the following areas will be considered highly beneficial: Scientific programming in Python or MATLAB Structural mechanics, reliability
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of advanced wind turbine components. Experience in one or more of the following areas will be considered highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference
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highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference, or stochastic modelling Structural mechanics, material modelling, or multi-physics simulation Data
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems