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Field
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied
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models. Compare the performance of federated models with local and centralized models. Contribute to technical documentation, deliverables, scientific publications, and coordination meetings with partners
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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news reports. Participation in outreach events on the topic of EU foreign policy and/or international security. Candidate Profile We are looking for a person with the following characteristics: PhD in
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. To apply: https://academicjobsonline.org/ajo/jobs/32467 Files to submit: Applicant’s CV Applicant’s transcript showing proof of PhD; or intended completion date, which must be confirmed in a separately
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integration using the BigOmics Analytics platform (Interreg partner); 2) Experimental validation on local FFPE samples via NanoString and dPCR platforms to identify predictive molecular signatures (response
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develop and apply cryo-ET on microalgae from laboratory cultures and field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https
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also demonstrate excellence in oral and written communication, lab and project management, and an ability to supervise and mentor trainees. Minimum Education and/or Work Experience M.D. or PhD Required
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successful candidate will hold a PhD degree in Computer Science / Engineering, Electronic Engineering or a closely related discipline, with a good track record of original research publications. The successful