247 data "https:" "https:" "https:" "CMU Portugal Program FCT" positions at Cardiff University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
broad range of investigative and analytical activities to maximally exploit clinical and genetic data of Amyotrophic lateral sclerosis (ALS), and linking them to genetic risk scores with the aim
-
the specialist field of data science and/or building performance. The CLCBE team have been commissioned by Neath Port Talbot County Borough Council to carry out monitoring and evaluation as part of the Homes As
-
directly to its key final outputs. Responsibilities will focus on conducting new academic and policy literature reviews and synthesising these findings with existing project data. You will then co-author
-
University information including study opportunities, entry requirements and processes, student fees and finances, teaching methods, accommodation and extracurricular facilities to ensure you are supportive
-
-scale data using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will
-
investigative and analytical activities to maximally exploit clinical and genetic data, and linking them to genetic risk scores with the aim to replicate key biological hypotheses and findings from molecular
-
strategy You will engage and uphold the University Library Service’s values and behaviours. (See additional information). We offer an excellent renumeration package including 32 days annual leave per year
-
the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team of researchers working
-
on the information you provide under each element. When attaching the supporting statement to your application profile, please ensure that you name it with the vacancy reference number, e.g. Supporting Statement
-
the boundaries of diffusion MRI and imaging physics at ultra-low magnetic fields. The successful candidate will play a key role in advancing diffusion MRI data analysis and sequence development for ultra-low field