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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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research or clinical experience working with 0-5 populations Prior experience in clinical research and manuscript preparation Experience with MATLAB and/or Python preferred Experience with manuscript
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, or Python). Excellent communication, organizational, and project management abilities. Demonstrated capacity for independent problem solving and initiative in complex research environments. Please include
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-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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of demonstrated technical knowledge of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, Jupyter Notebooks) Excellent verbal and written communication skills including
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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of protein folding, stability, and phase separation Programming for data analysis and mathematical modeling (Python, MATLAB, or R) Design of controlled experimental systems to test mechanistic hypotheses
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by bioinformaticians, the candidate must have skills in analyzing sequencing data, ideally using Python, but other training in other suitable programming languages are acceptable. Website
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 2 months ago
modelling; Strong analytical and programming skills (preferably in R and/or python); Presented research findings both internally and at international meetings; Demonstrated ability to publish research in