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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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. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio
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, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio, acoustic, and
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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
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
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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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, particularly joint action studies strong programming skills in Python Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one