Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Oslo
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Harvard University
- Universidade Católica Portuguesa - Porto
- University of Manchester
- Center for Drug Evaluation and Research (CDER)
- Indiana University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Nanyang Technological University
- National University of Singapore
- University of Aveiro
- University of South-Eastern Norway
- Aarhus University
- Center for Biologics Evaluation and Research (CBER)
- Durham University
- Imperial College London
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Northeastern University
- Politécnico de Leiria
- The University of Alabama
- UCL;
- Universidade Nova de Lisboa
- University of Kansas Medical Center
- University of Nottingham
- University of Porto
- University of Sheffield
- University of Stavanger
- University of Texas at Austin
- Birkbeck University of London
- Centro de Astrofisica da Universidade do Porto
- European Molecular Biology Laboratories
- FEUP
- Fields Institute
- Hanyang University
- INESC ID
- Instituto de Educação da Universidade de Lisboa
- Instituto de Engenharia Mecânica
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- LNEC, I.P.
- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
- London School of Hygiene & Tropical Medicine;
- Nord University
- Nova School of Business and Economics
- Queen's University Belfast
- REQUIMTE - Rede de Quimica e Tecnologia
- TAMPERE UNIVERSITY
- Universidade de Coimbra
- Universidade de Leiria e Oeste
- University of Agder (UiA)
- University of Bergen
- University of Birmingham
- University of Bristol
- University of Glasgow
- University of London
- University of Maryland, Baltimore
- University of Notre Dame
- University of Southampton;
- Western Norway University of Applied Sciences
- Zintellect
- 49 more »
- « less
-
Field
-
organism movement and behavior through image tracking Advancing unsupervised and semi-supervised classification methods to discover previously unrecognized biological groupings Explore adaptive AI-guided
-
/these factor(s) in depth in Norway with a qualitative approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data
-
Sociology, and an MSc in Criminology and Criminal Justice. We also support the core delivery of the Faculty's ESRC Research Methods Training. Our work on decolonising the curriculum has led the department
-
interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
-
Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 18 hours ago
Nuclease Cas9 in the US Population. Mol Ther Methods Clin Dev. 10: 105-112, 2018. Learning Objectives: Under the guidance of a mentor, you will receive training in cutting edge technologies directly relevant
-
doctoral thesis, but not yet formally been awarded the doctoral degree, you are not eligible. You must have: professional and personal skills for completing the doctoral degree within the timeframe
-
approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data. The successful candidate should have prior
-
foundations and methods can be retrieved by the PI, together with a more detailed outline of the work package on wind power. This will guide the applicants in developing their project proposal. The PhD
-
successfully defended your doctoral thesis, but not yet formally been awarded the doctoral degree, you are not eligible. You must have: professional and personal skills for completing the doctoral degree within
-
/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE