10 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Fred Hutchinson Cancer Center
-
fields: cell cycle control and protein degradation by the ubiquitin-proteasome system. Our work focuses on both tumorigenesis and normal biology, and our overall goal is to apply new mechanistic insights
-
. Responsibilities The Ring Lab is recruiting a Post-Doctoral Research Fellow with expertise in immunology, systems/computational biology, and/or protein engineering. This position will involve research projects
-
lead publications in high-impact journals. Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in cancer biology, molecular biology, tumor immunology, or a related field. Strong written and oral
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bai Lab (Basic Sciences Division) is looking for a Postdoctoral Fellow to join a diverse
-
Hutch facility. Responsibilities The Position will be involved with pursuing the major scientific research goals of Dr. Thomas's lab with a focus on studying immune regulation of lung repair after
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Post-Doctoral Research Fellow (the "Position") will conduct scientific research within
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Post-Doctoral Research Fellow (the "Position") will conduct scientific research within
-
. Qualifications MINIMUM QUALIFICATIONS: Ph.D. or M.D. in biology; biochemistry; genetics; molecular biology; cell biology; immunology or related field. Expertise in computational biology. Demonstrated proficiency
-
biology techniques: RT-PCR, CRISPR or shRNA gene knock-down strategies, immunohistochemistry, ELISA, cell culture, drug toxicity assays. The annual base salary range for this position is from $77,976
-
complete) a Ph.D. or equivalent in Statistics, Biostatistics, or a similar quantitative field prior to their appointment. The candidate should have solid training in statistical methods and computational