52 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"St" positions at SciLifeLab in Sweden
Sort by
Refine Your Search
- 
                Listed
 - 
                Category
 - 
                Program
 - 
                Field
 
- 
                
                
                
and includes both basic studies on disease causes and the development and evaluation of improved diagnostics and new treatment methods. More about the department’s activities can be found
 - 
                
                
                
Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in
 - 
                
                
                
for! We are searching for a Systems developer in service development and operations for Linux at the AIDA Data Hub, belonging to the Department of Science and Technology, based at the Center for Medical
 - 
                
                
                
international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a position as a system developer at
 - 
                
                
                
the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
 - 
                
                
                
develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
 - 
                
                
                
comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
 - 
                
                
                
in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
 - 
                
                
                
to super-resolution microscopy. The platform enables visualization of biological systems at multiple scales – from molecules to tissues – using state-of-the-art instruments that are not normally available in
 - 
                
                
                
– protein interactions or enzyme optimization. Main responsibilities The successful candidate will use and develop methods within one, or preferably multiple, of the following categories: Sequence library