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internet allowance) and attention for good workplaces. The University will also provide you with a laptop and a mobile telephone. For more information about employment conditions, see https
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for reasoning, on efficient and explainable machine learning for extracting and structuring information from large datasets, and on combining the two in neuro-symbolic AI.
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, as you’ll be working in an internationally diverse community and with international partners. Ability to learn independently and passion for research Team player, open to discussion and constructive
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preparedness. Organise and facilitate stakeholder interviews, learning workshops, and validation sessions, e.g. to identify good practices and transferable insights. Act as an embedded researcher, ensuring
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can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science . For more information about working at Leiden university please visit
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initiatives, and establish standards to advance machine learning ( OpenML.org ) OpenML is a popular open science platform for sharing interconnected AI artifacts (e.g., datasets, models, and benchmarks) using
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both clinical assessment and secure, long-term home monitoring. You will: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically
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projects with your input and expertise. Where to apply Website https://www.academictransfer.com/en/jobs/362356/postdoc-in-individual-patient-d… Requirements Specific Requirements We are seeking someone with
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partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
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and high-speed microscopy with AI and machine learning to form stable liposomes from libraries of (novel) phospholipids that can robustly encapsulate cell-free gene expression systems. You will then