296 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in United States
Sort by
Refine Your Search
-
to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
-
collecting relevant data from 2D, 3D or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple image analysis
-
, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis
-
to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
-
for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning
-
. Professional certification (e.g., Project Management, OSHA safety certification), preferred as applicable. Some experience with computer-aided drafting (AutoCAD) and Microsoft Office (e.g., Excel, Word
-
, based in Athens, Greece. We seek colleagues who embrace student-centred learning, have an internationally visible record of high-quality research, and are committed to making significant contributions
-
coordinating all the facility maintenance, repairs, and renewals. Strong experience with computer maintenance management systems (CMMS)s, preferred. Strong experience with building automation systems (BAS)s (e.g
-
, Greece. We seek colleagues who embrace student-centred learning, have an internationally visible record of high-quality research, and are committed to making significant contributions to society
-
colleagues who embrace student-centred learning, have an internationally visible record of high-quality research, and are committed to making significant contributions to society. Applications are invited