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PhD in Bioinformatics and Machine Learning for Infection and Antimicrobial Resistance Diagnostics

Empresa sin especificar

Noruega📅 2/10/2026

Descripción

About the position The Department of Biotechnology at the Faculty of Applied Ecology, Agricultural Sciences, and Biotechnology (ALB) at the University of Inland Norway (INN) invites applications from exceptional candidates for a PhD position. The position will last for three years. The successful candidate will be based at the Department of Biotechnology. The candidate will be enrolled in INN’s PhD program in applied ecology and biotechnology, and the candidate must work from the designated workplace in Hamar. The appointed PhD candidate will work in the group of Professor Rafi Ahmad . The Ahmad group is also part of the Norwegian Network for One Health Resistome Surveillance (NORSE), a national network of 13 Norwegian institutions. The group is also part of Microbiology Matters (MiMa) , a PhD school with work-life relevance that focuses on One Health and infectious diseases. The group is also affiliated with the National Center of Expertise, Heidner Biocluster. The appointed candidate will be working within a proliferating scientific environment comprising academic staff members, Ph.D. students, and research fellows with scientific expertise ranging from theoretical methods (machine learning, biostatistics, and bioinformatics) to experimental methods (genomics, molecular biology, clinical microbiology, microscopy, and spectroscopy). About the project The selected candidate will join the BioAI project, funded by Hedmark Fylkeskraft, which aims to establish a Biotechnology Innovation Centre in Innlandet focused on cutting-edge research in biotechnology and AI. The PhD project will address bacterial infections caused by antimicrobial resistance (AMR), a major global threat to healthcare and society. With few new antibiotic classes developed in recent decades and widespread inappropriate use of existing drugs, treatment options are becoming increasingly limited. At the same time, antibiotics are often prescribed without identifying the causative pathogen or its resista
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