-
expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
-
acceleration while maintaining low startup time and predictable latency. The overarching ambition is to create a fast, modular, and scalable edge-cloud platform that can support next-generation immersive
-
prediction tools, such as AlphaFold2 or Rosetta, including multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host
Searches related to ensemble prediction
Enter an email to receive alerts for ensemble-prediction positions