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letter, CV, list of publications, transcripts, PhD thesis, and contact information of at least two references, and a research statement of max 3 pages, where you describe your previous achievements and
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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/ Candidates should have a PhD or equivalent with a strong background in HIV virology, molecular virology, immunology, and molecular/cellular biology. Experience with inflammasomes, molecular screening
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data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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applicants to read the information "How to Apply" before applying. The application must include Detailed CV with applicant's e-mail and phone number Certificates/Diplomas (Master and PhD degree). If the PhD
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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data analysis methods. The PDR will work in close collaboration with LCLS-II staff and eXn graduate students. Experimental results will be interpreted in an interdisciplinary environment including