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, CellProfiler, QuPath, Napari, Python or MATLAB. — Ability to interpret biological results and collaborate with researchers from different fields. — Good command of scientific English, both spoken and written
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings. The position has a strong focus on scientific software development in Python, data engineering and signal
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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy
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: Certified unlearning with formal guarantees — developing methods with provable erasure bounds, connecting to differential privacy and statistical divergence frameworks Robustness to adversarial relearning
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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these different regimes in a unified approach. Specifically, the Research Fellow will use embedding schemes developed by the team members in Belfast and Toulouse to study photon irradiation of nucleobases and
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at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and
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telemetry, and the implementation of new hardware support mechanisms. Your role will include the design, implementation and evaluation of different parts in the system, and the integration with other partners