108 molecular-modeling-or-molecular-dynamic-simulation positions at Cardiff University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the UK DRI is through research, to transform the outlook for people living with or at risk of neurodegenerative conditions. Candidates with experience in molecular biology, immunology
-
students and a computational biologist and play a key role in advancing our research efforts, focusing on the molecular mechanisms of jellyfish rejuvenation. You will use low-input next-generation sequencing
-
chemistry or biochemistry, ideally molecular modelling of proteins. A keen interest in computational protein design. Familiarity with the broader protein-design literature. Job Category Academic - Research
-
these in vivo using established models in combination therapy approaches including the use of immune checkpoint inhibition and other antibody targets. The lab is well funded by the Academy of Medical
-
Education, providing professional technical support mainly within our busy and dynamic Clinical Skills and Simulation team. This is an essential role in providing technical support for the delivery of high
-
grid forming capability). • To model and validate VSC and LCC HVDC Network, including simulation and hardware Studies. • Theoretical stability analysis and practical control strategy implementation
-
, nutrients and metabolism on brain health as a central node of molecular psychiatric research. Under the Developing Minds Psychiatric Nutrigenomics group, you will develop research activity in one or more of
-
vivo model systems to explore role LOAD risk genes in mitochondria dysfunction, metabolism and pathology in ageing neurons. • You will have opportunities to develop your research skills, collaborate
-
related subject area or relevant industrial experience. The work covers a wide variety of research areas, including proteomics, molecular biology, biochemistry, virology, cell biology, and immunology
-
-reconstruction, spectral analysis and time-frequency analysis of induced and evoked effects. Neurophysiological modelling using tools such as Dynamic Causal Modelling (DCM) 3. Knowledge of current status