71 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at HHMI
Sort by
Refine Your Search
-
information of two references (e.g., professor, advisor, supervisor) who can speak to your skills related to this position. These references will not be contacted until after the interview process. Physical
-
: To apply for the internship, please submit the following materials: a resume or curriculum vitae (CV), including relevant courses the name and contact information of two references (e.g., professor, advisor
-
: To apply for this internship, please submit the following materials: a resume or curriculum vitae (CV), including relevant courses the name and contact information of two references (e.g., professor, advisor
-
and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or
-
collaborate with data scientists and experimentalists to develop robust data flows from optical pooled screening outputs through to model training and deployment. You will implement cutting-edge tools
-
, including any relevant courses the name and contact information of two references (e.g., teacher, supervisor, mentor, etc.) who can speak to your skills related to this position. These references will not be
-
information and control behavior in mice and songbirds. We place particular emphasis on advanced optical approaches, including multiphoton microscopy, Bessel-beam imaging, and closed-loop patterned stimulation
-
proteins present in drug-modulated circuits in vivo. For more information, see www.tinakimlab.org. The Abdus-Saboor lab (located at Columbia University’s Zuckerman Mind Brain Behavior Institute) investigates
-
RNA sequencing workflows, data interpretation, or collaboration with sequencing teams. Proficiency in molecular biology techniques such as cloning, PCR, and genotyping. A strong sense of independence
-
for part-time, 20 hours per week. Pay Type: Annual HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and