10 linked-data-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Linköping University
Sort by
Refine Your Search
-
, which is payable also if you leave Sweden More information about employment benefits at Linköping University are available at https://liu.se/en/work-at-liu/employee-benefits . More information on the
-
, or professional values, please visit: https://liu.se/en/research/cantu-lab and https://www.scilifelab.se/researchers/claudio-cantu/ The employment The position is a full-time, fixed-term appointment for three
-
to predict metastasis through integrated analysis of clinical data, molecular profiles and mechanistic models. As postdoc, you will develop and apply methods for analysis of multimodal biomedical data from
-
Research Foundation and carries a salary of SEK 43,000 per month. More information about employee benefits is available here . Union representatives Information about union representatives, see Help
-
, with commencement during 2027. Salary and employment benefits The position is funded by the Högbom-Cocozza Research Foundation and carries a salary of SEK 43,000 per month. More information about
-
agreed upon, with commencement during 2027. Salary and employment benefits The position is funded by the Högbom-Cocozza Research Foundation and carries a salary of SEK 43,000 per month. More information
-
that map the functional nodes of the cerebellum with TIS and fMRI, from protocol development and individualised stimulation modelling to data collection, analysis and publication. You will take part in
-
research. Plan, coordinate and evaluate implementation of the support programme in participating regions. Recruit participants and conduct individual interviews, focus groups, workshops and survey-based data
-
epigenetics, methylation analyses, olink-proteomics. Shot-gun-proteomis, and you should have knowledge and experience using both R and Linux-based pipelines, and be good in bioformatics and data analyses. You
-
practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional