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Field
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qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn analysis tools. Excited about
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electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Strong problem-solving skills and the ability to collaborate in interdisciplinary teams. Excellent command
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demonstrate experience in or interest in working with R/Python. You can demonstrate very good writing skills. You can demonstrate a proactive attitude. You have good communication skills, and a collaborative
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experience in or interest in working with R/Python. You can demonstrate very good writing skills. You can demonstrate a proactive attitude. You have good communication skills, and a collaborative and
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publication record #excellent programming skills in Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) #good knowledge of English (written and oral) #high degree
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languages (C,C++, Python) Knowledge of offensive security Good scientific writing Involvement in the preparation of articles for publication in scientific journal(s) Data analysis skills Knowledge of advanced
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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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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab