Sort by
Refine Your Search
-
in bioinformatics and prior experience analyzing single-cell RNA-seq and/or other high-throughput datasets (e.g. RNA-seq, ATAC-seq, CUT&Tag, proteomics, etc.). Candidates are expected to be capable
-
, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering. This position will be the driving force for developing cutting-edge hydrogel-based technologies to study brain function
-
the laboratory who will be conducting their own parallel but independent studies (5% effort), and will participate in departmental seminar, lab retreats and national/international conferences (5%). The individual
-
bioinformatics techniques Preferred Qualifications Experience with human pluripotent stem cell culture and directed differentiation Proficiency with CRISPR-based genome editing Expertise in single-cell
-
Department. Exposure to scientific review processes, research evaluation, and science strategy. Opportunities to apply data science and AI tools in a mission-driven context. Opportunities to develop, apply
-
well as crosslinking mass spectrometry (XL-MS). The successful candidate will play a central role in the computational and analytical components of research projects, apply state-of-the-art bioinformatics tools
-
lab’s science, combined with excellent organizational and communication skills, will help you succeed. Candidates with experience in genomics, transcriptomics, or basic bioinformatics analysis
-
metabolism (metabolite isolation/analysis). Live-cell imaging (confocal microscopy; advanced optical techniques). Bioinformatics exposure (proteomics, RNA-seq, phylogenetics). Biochemical purification
-
biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
-
biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision