Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Ref no: ORU 2.1.1-01649/2026 Örebro University and the School of Science and Technology are looking for a doctoral student (PhD student) for the doctoral programme in Computer Science, concluding
-
of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
-
program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
-
expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our
-
computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
-
engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation. RESPONSIBILITIES
-
, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often
-
, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 Postgraduate qualification SCQF level 12 (PhD) in a related Computer Science, Engineering or STEM subject or alternatively possess
-
of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply
-
standard genomic and transcriptomic analyses. • Experience implementing and routinely documenting data analysis pipelines for the research • Experience with cloud-based storage and service tools is essential