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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
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development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The department is responsible for ensuring
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years of post-qualification experience at the time of application; (b) experience in using machine learning for research projects; and (c) have a good command of both written and spoken English
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in robotics and machine learning. At least 4 years of research experience in
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standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: Hatfield, Hybrid We are seeking a full-time Research Fellow on Machine Learning
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of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
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-fellow-in-deep-learning-for-imaging Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/287578/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster
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of hire. MD or PhD. Research expertise in Ophthalmology, Biomedical Engineering, Computer Science, Data Science, Machine Learning One year’s work experience, or equivalent in thesis research and other
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to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research