Sort by
Refine Your Search
-
medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
-
interactions with citizens. The position includes collaboration with researchers across multiple universities and international partners, and will involve empirical studies of AI use in public-sector
-
redefinition. Architectural discourse has often relied on standardized bodily models that mask the diversity of lived, gendered, and capacitated experiences. In response, this project explores how a multiplicity
-
to 20% of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. More information about doctoral studies you can find here: www.umu.se/en/usbe/education
-
deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
-
-of-clinical-microbiology/ ), the student will be affiliated with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year
-
, highly motivated for participating in the PhD programme, with strong analytical skills and the ability to work independently. You will be able to shape your project to a significant extent, beginning with
-
several high-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on gender, power, and media - AI methods for multilingual bias editing. The Department
-
quantum physics/chemistry, inorganic and materials chemistry, solid state chemistry or physics. · Good laboratory skills and interest in experimental research. · Programming skills for modeling and data
-
programming. Consideration will also be given to the applicant’s ability to collaborate, their motivation and independence, and how their previous experience and competence indicate their potential