76 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions in United Kingdom
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://www.diamond.ac.uk/Instruments/Mx/VMXi/Staff/Hough.html Details of Diamond Light Source and its studentship program may be found here: https://www.diamond.ac.uk/Home.html https://www.diamond.ac.uk/Careers/Students/PhD
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for advanced mechanistic studies and future therapeutic applications. As a doctoral candidate in this program, you will be fully embedded within a collaborative network involving leading experts from the Sussex
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Accurate eyewitness identification is critical
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help uncover how growth factor signalling shapes vision. For more information, email us at l.troeberg@uea.ac.uk . The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering
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, age or social background. Please read our application guidance to see our programme specific requirements, including proforma Research and Personal Statements: https://biodtp.norwichresearchpark.ac.uk
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on the lab can be found at https://www.sysneurodevlab.org/ Eligibility & How to apply: Please submit a formal application using the online admissions portal (via the ‘Apply’ button above) attaching a CV
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the 36 months immediately before the recruitment date. PhD Enrolment Requirement: The selected candidate must be eligible to enroll in the doctoral program at King’s College London. What We Offer: 36-month
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods, writing for publication, thesis
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic