Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stony Brook University
- University of North Carolina at Chapel Hill
- Cornell University
- University of Washington
- Virginia Tech
- DePaul University
- Nature Careers
- New York University
- University of Maryland, Baltimore
- University of North Texas at Dallas
- University of Oklahoma
- Baylor College of Medicine
- Eastern Kentucky University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Georgia Institute of Technology
- INSAIT - The Institute for Computer Science
- Indiana University
- Los Alamos National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Brain Research, Frankfurt am Main
- NEW YORK UNIVERSITY ABU DHABI
- SciLifeLab
- Stanford University
- Texas A&M AgriLife
- University of Delaware
- University of South Carolina
- University of Texas at Arlington
- University of Virginia
- 19 more »
- « less
-
Field
-
scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
-
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
-
Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 10 days ago
circuitry of the vertebrate brain gives rise to the computational algorithms that animals use to solve real-world behavioral problems. We study this question in the larval zebrafish, where we can combine
-
, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis
-
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
-
software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics
-
. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
-
). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
-
for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust, intelligent, sustainable, and evolving (RISE
-
vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab