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Field
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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. neuroimaging, time-series signals, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using AI
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relevant analysis methodologies. Essential Application/Interview Experience of quantitative data analysis using appropriate software (e.g., R, Stata, Python). Essential Application Dissemination of research
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technologies that are commonly used in the group include Python, Fortran, high-performance computing, MPI, OpenMP, Commander, Git, and Latex. Familiarity with these concepts will be an asset, but are not
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. Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.
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resulting from this researc.h Who You Are: Ph.D. in Computational Biology, Bioinformatics, Human Genetics, Biostatistics, Computer Science or related field. Demonstrated proficiency with R or Python
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. Strong experience with Python and at least one deep learning framework such as PyTorch, PyTorch Lightning, TensorFlow or JAX. Familiarity with packages and technologies such as NumPy, Pandas, Scikit-learn
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for strong data management, documentation, and other tools that support replicable research practices High proficiency in at least one language or statistical package (e.g., Stata, R, Python) Demonstrated
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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside