51 machine-learning-phd-in-denmark Fellowship positions at University of Birmingham in Uk
-
quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
-
Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
-
. Supervising students on research-related work and providing guidance to PhD students working alongside the project team. Undertaking administration arising from the research project and help anticipate and
-
learning provision, with our Collaborative Teaching Laboratory, which opened September 2018, already revolutionising how we teach undergraduate practical chemistry. We are a collegiate School community. You
-
Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
-
findings for publication, including research seminars and conferences Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to
-
collaboration with Public Health England (PHE) at Porton Down. You will be a trustworthy, conscientious, innovative experimental scientist who has successfully completed a PhD in Materials Science, Chemistry
-
clearly. Ability to assess resource requirements and use effectively. Ability to identify and learn new techniques and software skills, through self-study, training and/or CPD. Work within specified
-
. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
-
related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research