Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
distinctive environment for the support and training of Medical Research Council (MRC) funded PhD students across our partner institutions. You will work closely with the Doctoral Training Programme manager to
-
products to be used in plants. Lead the project and plan own workload Publishing scientific papers. Presenting work and results to both the KTP supervision team and at scientific meetings. Ultimately deliver
-
Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance
-
. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
-
late July or early August. This will consist of interview and lab tour at the University of Sheffield for short listed candidates. We plan to let candidates know if they have progressed to the selection
-
higher education (HE) institution, except for anyone who has participated in the Work Programme. You may still be eligible if the apprenticeship will allow you to acquire substantive new skills and there
-
reference the application criteria in the application statement when you apply. Essential criteria Postgraduate qualification in a relevant subject such as a PhD or MSc in Psychology, Data Science, Computer
-
a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
-
the ability to design a programme of research that will produce high quality outputs and have real impact in academia and beyond. As an equal opportunities employer, we particularly welcome applications from
-
scheduled team meetings. Liaise between individual students /groups of students and programme directors. Undertake module evaluation, including facilitating student feedback, reflecting on own teaching design