Is the Job related to staff position within a Research Infrastructure? NoOffer Description
We invite applications for a PhD Research Fellow position in Computational Structural Biology is available at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, within the interdisciplinary research project DECODING ADDICTION – Unraveling Individual Variability to guide Prevention, part of the UiO Life Science Convergence Environment.
Addiction is a growing global crisis, and understanding individual vulnerability is critical for prevention and treatment. The DECODING ADDICTION project investigates the role of the mu-opioid receptor (OPRM1/μOR) in addiction susceptibility by studying a naturally occurring mutation (R181C) discovered in the Norwegian popu-lation. This mutation abolishes opioid receptor signaling and offers unprecedented insights into how μ-opioid signaling shapes addiction risk. This PhD project (Work Package 4) aims to use advanced computational methods to elucidate the structural and functional consequences of the R181C mutation in the μ-opioid receptor.
The project offers a highly interdisciplinary research environment spanning computational chemistry, neuroscience, molecular biology, and psychology. The work will leverage GPU computing on the LUMI supercomputer, one of Europe’s fastest, to perform state-of-the-art molecular simulations.
For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/309983/phd-research-fellow-in-computational-medicinal-chemistry-for-addiction-research
Where to apply
https://www.jobbnorge.no/en/available-jobs/job/309983/phd-research-fellow-in-computational-medicinal-chemistry-for-addiction-research
Requirements
- Research Field: Pharmacological sciences
- Education Level: Master Degree or equivalent
Work Location(s)
- Number of offers available: 1
- Company/Institute: Department of Pharmacy
- Country: Norway
- City: Oslo
- Website: https://www.mn.uio.no/farmasi/english/
- Street: PO box 1072 Blindern
- Postal Code: NO-0316
- E-Mail: osman.gani@farmasi.uio.no, t.v.hansen@farmasi.uio.no
