Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Supervisors: Dr Lucy van Dorp Prof Joanne Santini Abstract Phages - viruses that infect bacteria - are rich sources of molecular diversity with potential applications in antimicrobial discovery
-
This PhD is based at the University of Hertfordshire in collaboration with Rothamsted Research and ADAS. University of Hertfordshire: Prof Yongju Huang (y.huang8@herts.ac.uk ), Dr Chinthani Karandeni Dewage
-
Supervisors : Prof Christine Orengo – The Orengo Group website Dr Gorka Lasso - The Lasso Lab Website Collaborator: Prof. Kartik Chandran – Chandran Lab, Albert Einstein College of Medicine
-
be carried out at the University of Groningen (RUG, the Netherlands) under the supervision of Prof. Sandy Schmidt in the Department of Chemical and Pharmaceutical Biology at the Groningen Research
-
will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and collaborators both from
-
decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
-
models, organoids, confocal microscopy, high throughput sequencing technologies, bioinformatic analyses Strong interest in interdisciplinary cooperation within a big consortium, as well as with
-
PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Dr Richard Sloan (The University of Edinburgh), Prof Kenneth Baillie (The University of Edinburgh), Dr Finn Grey
-
of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between
-
(locomotor activity, ultrasonic vocalizations) and molecular profiling (qRT-PCR, NGS). An integrative bioinformatics approach will be used to identify molecular networks involved in addiction-related processes