Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
on FNR’s prestigious PEARL program, and has the option for an affiliated professorship. Both LIH and DFKI pledge their full commitment to ensuring that this new position becomes a cornerstone in the
-
: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification
-
structures, data structures, operating systems, database systems, systems analysis and design, software engineering, theory of computation, analysis of algorithms, programming languages, artificial
-
degree in Computer Science, Computer Information Systems or an equivalent combination of education and experience. Three (3) years of experience as a Programmer or similar role in an IT support environment
-
, drawing insights and ideas for implementation. Having previous publications is a plus. Experience in designing, developing, and implementing computer vision models and algorithms. Proficiency in Python and
-
Mathematics program. Apply machine learning and reinforcement learning techniques to solve advanced mathematical problems. Develop and implement new algorithms for mathematical reasoning. Collaborate with team
-
support to researchers on software best practices, coding standards, and algorithm optimization. High-Performance Computing: Assist researchers in utilizing the institution's high-performance computing
-
Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and if applicable
-
KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours
-
Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and if applicable