Sort by
Refine Your Search
-
Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads to greater adoption
-
is experiences in interprofessional education and learning. Meritorious is experience in student-centered learning, such as problem-based learning (PBL), which is the pedagogical method used
-
master's degree with a focus on social sciences is required. Experience with quantitative methods and a background in computational social science are considered an asset. Upon employment, the assessment
-
the electronic properties of organic semiconductors through light-driven chemical doping. The work will involve combining tailored materials design with advanced characterization methods to enable new device
-
: Develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving characteristics. Innovate methods for integrating photosynthetic components into material
-
correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit neural representations (INRs
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
, and includes responsibility for developing the department’s environmental research lab. You will collaborate across disciplines, develop methods aligned with strategic goals, and contribute to seminars
-
Meritorious is if you have: experience with the statistics program R experience with various immunological methods such as flow cytometry and proliferation previous experience of working in a research group
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing