Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Washington
- Stony Brook University
- University of North Carolina at Chapel Hill
- New York University
- Nature Careers
- Virginia Tech
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- University of Maryland, Baltimore
- University of Oklahoma
- Baylor College of Medicine
- Chalmers University of Technology
- Cornell University
- DePaul University
- Eastern Kentucky University
- Embry-Riddle Aeronautical University
- Georgia Institute of Technology
- INESC ID
- Indiana University
- Los Alamos National Laboratory
- Max Planck Institute for Brain Research, Frankfurt am Main
- Texas A&M AgriLife
- Universidade do Minho - ISISE
- University of Delaware
- University of Illinois at Chicago
- University of Massachusetts Medical School
- University of Nevada, Reno
- University of North Texas at Dallas
- University of South Carolina
- University of Texas at Dallas
- University of Trás-os-Montes and Alto Douro
- Washington University in St. Louis
- 22 more »
- « less
-
Field
-
surveys, data-intensive algorithms, and software. The Institute comprises seven faculty and senior fellows, and over 30 postdoctoral researchers, research scientists, software engineers, and graduate
-
genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
-
data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and
-
magnetometry measurement and analysis of the Nab spectrometer magnetic fields, help develop the BL3 DAQ and algorithms, carry out Monte Carlo simulations for Nab and BL3, and help undergraduates at EKU finish
-
or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
-
available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
-
, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
-
inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
-
interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology