Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
pathway which can have the potential for treating certain genetic diseases and cancer. Co-authors are dr hab. inz. Umesh Kalathiya from the ICCVS, University of Gdańsk and prof. Sławomir Makowiec from
-
implications of artificial intelligence, algorithms, digital platforms, or other emerging technologies. Such research may advance data science methods, deepen our understanding of economic effects of new methods
-
School. Responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
, implementation, and evaluation ● AI in public management, government operations, and public service delivery ● Algorithmic decision making, accountability, and transparency ● The responsible and ethical use of AI
-
software for research projects by understanding the needs and requirements, and applying software engineering best practices to scientific challenges. Key responsibilities involve coding, algorithm
-
systems, robotics, and human computer interaction. General Computer Science: Teaching core and advanced undergraduate courses in areas such as programming, data structures, algorithms, databases, software
-
working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national guidelines for disease specialties including hematology
-
Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic