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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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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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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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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
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to be able to independently develop scientific concepts and methods, be competent in coding with Python and Matlab at least, and be fluent in both speaking and writing in English. The EU Mobility Rule
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
design tools (e.g., generative design, parametric modelling). Basic proficiency in engineering and data software (e.g., Python, MATLAB, AutoCAD, Rhino/Grasshopper). Understanding of sustainability concepts