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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
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stable isotopes are assets, but not compulsory. Strong data management skills with analytical tools e.g. Matlab, R, Python Fluency in English and excellent writing skills. Working Language is English
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Python, R, and Linux shell scripting. Hands-on experience with HPC environments, workflow management systems, and job schedulers. Expertise in machine learning and its application to biological data
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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or Python for bioinformatics analysis Hands-on experience with cell culture, pipetting, and sample preparation Strong oral and written communication skills in English Desirable Familiarity with preprocessing