411 computer-science-intern-"https:"-"https:"-"https:"-"Linnaeus-University" positions at NIST
Sort by
Refine Your Search
-
RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid Annotation, and Functional Pathway
-
RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
-
RAP opportunity at National Institute of Standards and Technology NIST Engineered Quantum States of Light Location Physical Measurement Laboratory, Applied Physics Division opportunity location
-
center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics, or Computer Science. Reference Yang X, et al
-
Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with
-
NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...
-
RAP opportunity at National Institute of Standards and Technology NIST Chemical Metrology of Dietary Supplements Location Material Measurement Laboratory, Chemical Sciences Division opportunity
-
RAP opportunity at National Institute of Standards and Technology NIST Indoor Localization and Tracking Location Information Technology Laboratory, Advanced Network Technologies Division
-
RAP opportunity at National Institute of Standards and Technology NIST Fire Dynamics and Fire Protection Engineering Location Engineering Laboratory, Fire Research Division opportunity location
-
RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location