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related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging
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trouble shooting. Support researchers training on best practices for data management and open science. Socialize research support services to scientists of diverse backgrounds. Perform outreach, teach
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
, epigenomics, single-cell, spatial 'omics, machine learning, and artificial intelligence. Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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.). - Experience building automated processing pipelines in cloud environments (AWS, GCP, Azure). - Proficiency with machine learning / deep learning frameworks (TensorFlow, PyTorch, scikit-learn) applied
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learning projects. The Scientific Program Manager will work in a complex, multi-team effort to steer and coordinate development of next-generation machine learning models for biomolecular structure
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-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics. Your tasks Coordinate the international open-source developer scverse community
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and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not required: FELASA B and experience coordinating animal
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computational analysis, deep learning, and calcium imaging–based approaches. We work primarily with the model system C. elegans and apply both computational and experimental methods to uncover fundamental