Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Chemistry
- Mathematics
- Science
- Materials Science
- Engineering
- Linguistics
- Psychology
- Arts and Literature
- Earth Sciences
- Sports and Recreation
- Business
- Education
- Environment
- Philosophy
- Electrical Engineering
- Humanities
- Law
- Social Sciences
- 12 more »
- « less
-
programs in Community Health Education (CHE) and Health Policy and Management and hosts a Center for Community Health Equity Research (CCHER). Drs. Derose and López-Cevallos are members of the CHE program
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
-
are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
-
opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
-
Institute, Stanford University), our lab has access to one of the largest iPSC biobanks in the United States, which give us access to multiple cell lineages carrying mutation in multiple genes key
-
of the largest iPSC biobanks in the United States which will give us access to multiple cell lineages carrying mutation in multiple key genes of the cardiovascular system. Education Requirement: Ph.D. in
-
interventions are maintained in the context of stressors. In order to examine these questions, the project will use multiple methods such as experience sampling, laboratory tasks, and a randomized-controlled
-
., regularized regression, random forests, support vector machines) Experience with accessing and analyzing data from public use data sets and web-based survey systems Ability to manage multiple projects with
-
well as for the concrete planning and management of neighborhood and building solutions. As part of our mission to develop smart solutions to tackle the climate change, we have launched a PhD programme with TU Munich