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Field
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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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, 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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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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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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or equivalent experience in a research-intensive environment such as a university, national laboratory, or industry R&D. Hands-on experience with advanced semiconductor research infrastructure (e.g., cleanroom
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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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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water management, facile heat rejection, and the ability to use reformates directly. At DTU Energy, we have been carrying out R&D in sustainable energy conversion technologies and especially fuel cells