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Field
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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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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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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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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, language learning, human evolution, and communication. You have experience in data analysis, visualizations and programming in R and/or Python. You have experience in, and aptitude for, complex statistical
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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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