Sort by
Refine Your Search
-
of Machine Learning (Theory or Practice). A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to
-
genomic data. Responsibilities: Primary responsibilities encompass: Supervising graduate students and postdocs in Big Data Biology, including Data Structures and Algorithms, Machine Learning (ML), and
-
Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
spectroscopy for multi-scale soil fertility mapping and assessment, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML
-
Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
crop growth and yield, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and
-
and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating
-
at the scientist/professor level depending on the CV and past experience of the successful candidate. The candidate is expected to combine machine learning and geosciences to develop innovative research related
-
to combine machine learning and geosciences to develop innovative research related to geo-informatic. We seek candidates whose research interests complement and enhance the existing GSMI strengths
-
crop growth and yield, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and
-
hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and accurate estimation of important
-
, Machine Learning (ML), and Computer Programming in languages such as Python and JAVA. Applying artificial and machine learning techniques to biological data analysis, genomics, and next-generation data