Sort by
Refine Your Search
-
Listed
-
Field
-
: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
-
to conferences, interactions with clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics. Required Qualifications: MD or PhD in a relevant
-
and pursue independent research directions. Required Qualifications: Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment
-
biology, cancer biology, molecular biology, immunology, and bioinformatics are all welcome to apply. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry
-
clinical research. Required Qualifications: A PhD in computational biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell
-
and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
-
cell reprogramming. Required Qualifications: · PhD (or equivalent) in stem cell biology, developmental biology, molecular biology, neuroscience, or a related field. · Demonstrated expertise in cell
-
interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
-
/cellular biology, immunology, and/or bioinformatics background and excellent written and verbal communication skills. The successful candidate will lead a project at the intersection of cardiology, oncology
-
in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R