80 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at HHMI
Sort by
Refine Your Search
-
experience is preferred, or an equivalent combination of education and work experience. Strong computer skills using standard office equipment and strong familiarity with Windows. Strong proficiency in
-
pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate
-
pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate
-
-paced, highly collaborative environment. It is ideal for individuals planning to spend two years gaining hands-on research experience prior to pursuing a PhD or graduate program, offering exceptional
-
mechanisms of intracellular transport. This Research Technician role will be responsible for contributing to the Reck-Peterson lab’s research program on fungal biology and secondary metabolite production
-
of experiments. Analyze and interpret large-scale datasets using quantitative and/or computational methods. Engage in creative, hypothesis-driven research that contributes to the lab’s scientific directions and
-
to see 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
-
bring: Current enrollment in a bachelor’s degree program majoring in the liberal arts is required. Graduate students will also be considered and are welcome to apply. Proficiency in Microsoft Office Suite
-
to see 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
-
, optogenetics, and in vivo recordings. Several experiments generate big and high dimensional dataset, handling them with computation methods allow to move forward with discoveries. We are deeply committed