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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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. 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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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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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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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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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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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Familiarity with the basic concepts of quantum computing. - Curiosity to research
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and