Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
guidance of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing: Dr. Min Xu – Affiliated Associate Professor
-
Computing and Mathematical Sciences Division - Postdoctoral Researcher: Statistics and Machine Learn
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division - Research
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division - Research
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division - Open Rank
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division – Open Rank
-
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
-
Biological and Life Sciences Division–Research Scientist: AI for Precision Medicine and Therapeutics
Scientific computing, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine
-
code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion