Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and
-
on the analysis of different characteristics of the skin and body fluids, such as sweat and blood. Many of these methods are challenged with quality (accuracy/precision of measurement), power consumption, usability
-
machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
Number: 6375630 Postdoctoral Scholar - Mathematics Location: Syracuse University Campus Pay Range: $60,450 - $62,400 Pay Determination: Salary offers at Syracuse University will be based on education
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
biogeochemical model using times series forecasting and machine learning. The Post Doc will focus on one or two of the questions depending on their expertise and interest. Minimum Acceptable Education & Experience
-
Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Amarillo Proposed Minimum Salary Commensurate Job Location Amarillo, Texas Job Type Staff Job Description
-
for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher will focus on developing
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self