74 phd-position-in-database-modeling Fellowship research jobs at University of Nottingham
Sort by
Refine Your Search
-
, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
-
Applications are invited for a Research Associate/Fellow position to work on an ERC funded project ‘WATER-BLIND’ which seeks to uncover how roots sense water stress. Building on our recent
-
Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
-
opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This position requires extensive experience working with genetic
-
, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. - To establish a national reputation and regularly disseminate and explain
-
/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
-
of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
-
must have an MSc or PhD in forensic psychology, or a related field. The project involves recruitment online using a detailed survey, and a video interview, in a small subset of the sample. Recruitment
-
position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
-
mixed methods research. This 1-year position will work with the PI and focus on a series of digital score research experiments investigating human-AI/ human-robot interaction. A particular focus is using