Sort by
Refine Your Search
-
, computer scientists and biologists all working to develop imaging techniques within a supportive and diverse environment. Key Responsibilities This role will involve the operation of a new ultrafast laser
-
, combining imaging tools with chemical and biological platforms to see life in new ways. As a Post Doctoral Researcher at the Franklin, you will bring scientific knowledge and skills to deliver a specific
-
with research labs to streamline their TC processes at the institute level Production, QC, and advancement of stem cell and organoid differentiation media Molecular and functional QC of critical TC
-
biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
-
Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
-
balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
-
intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
-
skin diseases. Applying advanced immunological and molecular techniques, such as multiparameter flow cytometry, cell sorting, in vitro differentiation assays, spatial transcriptomics, and in vivo imaging
-
SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular structures. Fields: code
-
& Immunotherapy group studies why chronic neurodegenerative diseases occur, and then devise ways to prevent or treat them, applying a range of molecular immunological techniques, experimental models and patient