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, in vitro transcription, northern blotting, etc.). Knowledge of UNIX/Linux computing environments and of a programming language (e.g., Perl, Python, Rust, C++, R, etc.). We offer you in accordance with
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integration of charging systems with onshore grid infrastructure. This research is initiated by the R&D Centre MarTrans , and the successful candidate will be part of a vibrant community of PhD candidates, and
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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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Micropollutant removal Recirculating aquaculture systems Our projects often involve collaboration with municipalities, R&D companies, and consultants. Your profile We seek candidates with the following
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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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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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https://doi.org/10.1111/2041-210X.14460 [3] Papadopoulou, M., et al. (2023) Phil Trans R Soc https://doi.org/10.1098/rstb.2022.0068 [4] Papadopoulou, M. et al., In: From Animals to Animats 17. SAB 2024
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into longitudinal studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). They must also have experience of conducting research with human participants and of performing highly
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experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic