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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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(and the willingness to learn more), with an interest in biological/ecological questions; Experience with programming or the willingness to learn to program (the lab relies mostly on R and C++, but
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municipalities, R&D companies, and consultants. Your profile We seek candidates with the following qualifications: MSc degree in a relevant field such as Environmental Engineering, Chemical Engineering, Civil
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electrochemistry Aerobic granular sludge Moving bed biofilm processes Recirculating aquaculture systems Many of our projects are conducted in collaboration with municipalities, R&D companies, and consultants
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: Research or development connected to infection biology, immunology or epidemiology Advanced integration of multiple layers of molecular data sets Programming knowledge in R and/or other programming languages
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
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of the project, through development of the R package treepplr (www.github.com/treeppl/treepplr ). The work will include development and implementation of methods to test model adequacy, inference diagnostics
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for the user-interface aspects of the project, through development of the R package (www.github.com/treeppl/treepplr ). The work will include development and implementation of methods to test model adequacy