Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
-
Linköping University and has 12 partner universities across Sweden. This recruitment includes the Swedish node of the EuroHPC-funded network of European AI Factories in collaboration with RISE AB. The AI
-
Genomics meetings and activities and help disseminate best practice through the network. You will also be part of a team of bioinformaticians and molecular biologists locally, and will contribute to helping
-
(MaxQuant, Proteome Discoverer, Peaks Studio, DIA-NN, HDX-Examiner, etc), MS RAW data analysis software (Xcalibur, Freestyle, etc.). Proficiency in protein-centric pathway analysis, enrichment, and network
-
storage systems (e.g. Ceph) Experience with large data sets (e.g. image data) Knowledge of network technologies Experience with container and virtualization solutions Windows system administration. About
-
neural networks Documented experience with image analysis Strong competence in Python programming and Linux/HPC environments Prior experience of virtualization and software development Good social skills
-
Discoverer, Peaks Studio, DIA-NN, HDX-Examiner, etc), MS RAW data analysis software (Xcalibur, Freestyle, etc.). Proficiency in protein-centric pathway analysis, enrichment, and network analysis using tools
-
, including deep neural networks and relevant frameworks * Documented several years of experience in development with Python and version control systems, e.g., Git * Documented experience in large-scale data
-
the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide
-
Close collaborations with the New York Genome Center and with the infrastructure platforms at SciLifeLab An opportunity to develop an internationally competitive research profile and networks as