15 parallel-processing-bioinformatics "https:" Postdoctoral research jobs at New York University
Sort by
Refine Your Search
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Jul-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 189065 The Laboratory for Computer-Human
-
of the research grant when extending an offer. The ideal candidate will hold a PhD in computational biology, biophysics, systems biology, bioinformatics, genetics/genomics, and/or plant biology, a track record or
-
Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
-
and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status
-
Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
-
the safe operation of the implant, the system includes multiple recording channels of electrical signals and electrochemical signals. This project will involve the design, fabrication, and experimental
-
concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
-
to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed
-
physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and biological physics. The intended start
-
). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn