Sort by
Refine Your Search
-
there is only 1 post available Background The recruited research associate will be working on the NERC Environmental Challenges grant “P-FASE: Advancing And Integrating Knowledge And Data On PFAS Sources
-
for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students
-
to facilitate large-scale data analysis and dissemination. This role is particularly suited to candidates with a strong quantitative background who is enthusiastic about translating statistical methodology
-
mentoring of the students. Experience with noise analysis and signal processing is of advantage to the position. Role Summary Work within specified research grants and projects and contribute to writing bids
-
statistical methodologies and techniques appropriate to multi-sector data integration and violence-related risk factor analysis Supervise and examine PhD students, both within and out with the University
-
bioinformatics Experience in capture, computation, analysis, and interpretation of biological data Experience of routine histopathological techniques, including immunohistochemistry, and molecular biology
-
students on research related work and provide guidance to PhD students where appropriate to the discipline Communicate complex information and material of a specialist or highly technical nature Contribute
-
Clinical Research Fellow (BRC Arthritis) - Department of Inflammation and Ageing - 100873 - Clinical
appropriate plans for data analysis in conjunction with experienced colleagues and biostatisticians. To assist with trial set-up and obtaining necessary local and national approvals (ethics, MHRA) and
-
spectrometry, peptide and protein analysis, ion mobility mass spectrometry. Further information about research in the Cooper laboratory can be found at https://www.biosciences-labs.bham.ac.uk/cooper/index.php
-
background in data analysis techniques and analytical and/or numerical modelling of compact binaries. The Institute for Gravitational Wave Astronomy provides a vibrant and diverse environment with expertise