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from agriculture and green-waste recycling that contributes to the emergence of fungal Antimicrobial Resistance (fAMR) hotspots in the UK. The successful candidate will work closely with Professor Paul
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Background We are seeking to appoint a postdoctoral researcher to work on developing analysis approaches for low frequency observations of gravitational waves to improving our understanding of the formation
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invite applications for a Research Fellow to work on a qualitative study exploring the pathways to diagnosis of breast cancer in black women in the UK. The post holder will conduct literature review(s
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on qualifications and experience Working Conditions Personal protection equipment (furnished) May work around chemical fumes May work around standard office conditions May work around bio-hazards May work around
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/2026 Job Description The successful candidate will work with A/P Darren Yeo Chong Jinn on eDNA under a project titled “Optimising environmental DNA approaches for detection and monitoring of forest
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ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Stipend
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bauxite residue landscapes. Based within the Ecological Engineering of Mine Research Group at the Sustainable Minerals Institute, you will work within a collaborative, inclusive and multidisciplinary
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for a Research Fellow, Sustainability and Resilience (focus on social issues) The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by Prof. Florian
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
variability in opioid-naive versus opioid-tolerant populations using literature-based exposure-response data; and 3) investigate biorelevant dissolution methods and an integrated risk-based framework
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
MEA-based stem cell models. Contribute to a robust statistical framework to support the regulatory use of NAMs in proarrhythmia risk assessment, with a focus on characterizing cardiac safety signals