Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an open-ended position subject to external funding. It is full
-
administrative team, you will play an essential role in delivering high-quality support to ensure the smooth running of the Master’s courses. You will work collaboratively with the Manager, Education Assistant
-
. Excellent communication and interpersonal skills are essential, along with a structured and analytical mindset, attention to detail, and a commitment to maintaining secure, high-performing systems. What We
-
computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
-
. This position is part of the expanding OCTRU programming team, that ensures trial programming provision enables and proactively supports excellent research with high quality fully validated systems. On receipt
-
Python or Julia and you will have experience using version control (GitHub) and high-performance computing clusters. Applications for this vacancy should be made online and you will need to upload a
-
. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
-
of experimental data. You will primarily support the insectary at the Jenner Institute aiming for the assessment of new target antigens as vaccine candidates for the Malaria Vaccine Programme using some of the most
-
the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilising high-performance computing clusters, storage systems, databases, and
-
work closely with IT teams, researchers, and collaborators across the University, including the MPLS and Medical Science Divisions, to support high-performance computing (HPC) needs and to develop future