Sort by
Refine Your Search
-
organising analysis and research. Experience with PDX models and primary leukemic cells is highly desirable. Applications for this vacancy should be made online and you will need to upload a supporting
-
in the Global South. The research will bring together power grid and battery modelling, optimisation, economic evaluation and material flow analysis. The project will also involve close collaboration
-
changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
-
animal behaviour, neural recordings in behaving animals and neurosurgical techniques. They will have experience with analysis of behavioural and neural data, strong quantitative skills and proficiency in
-
polyphenism at the molecular level, using techniques such as ATAC-seq and Cut&Run, coupled with gene expression analysis by RNA-seq. You will be a highly motivated individual, with experience in molecular
-
and/or R for data analysis and visualisation and have excellent communication skills. This is post is full-time, fixed term post for 2 years. The closing date for applications is noon on 9 May 2025. You
-
/or directly drive those investigations with simulations and data analysis, as well as providing interpretation of the data. Depending on the specific attitudes and interests of the candidate the job
-
for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
-
necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
-
statistical languages (e.g. R) for data analysis and visualisation. The position is full time (part time considered) and fixed term for 2 years. The closing date for applications is noon on 23 May 2025. You