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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
programming skills and background in AI; Proficiency in R and/or Python, especially regarding the use of libraries specific to bioinformatic analysis (e.g., DESeq2/pyDESEQ2, clusterProfiler/GSEApy, Seurat
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
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, applied mathematics or a related discipline, and a specialization in machine learning, uncertainty quantification, optimization or related fields. Expected skills Proficiency in Matlab/Python/Julia Oral
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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” for formal requirements regarding the master’s degree. Good programming skills in Python. Previous experience with neural approaches and particularly generative language models is an advantage. Experience