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research goals; Curriculum vitae and list of publications; Recommendation letter or contact information of three persons for references at a later stage of consideration; Copies of PhD degree
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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, or a publication). A copy of PhD certificate (or proof for the submission and approval of the manuscript) and list of grades. Contact information of two academic referees. You may apply
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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale
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based on the selected hire’s education and experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30