88 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham in Uk
-
proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret
-
dynamics at the plasma membrane. Applicants must be highly motivated and self-driven, with a PhD in molecular biology, cellular or molecular pharmacology or a related area of biological sciences
-
very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
-
the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
-
.) influences different facets of the experience of ‘successful conversation’ (feeling engaged, exchanging information, etc.). Participants in the studies will include people with hearing loss and hearing-aid
-
generating DNA cytosine modification dysfunction in IPF, and potential targets for therapeutic interference in IPF development. Applicants must be highly motivated and self-driven, with a PhD in bioinformatics
-
and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France
-
set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
-
, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
-
proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret