Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- University of Texas at Austin
- LNEC, I.P.
- Politécnico de Leiria
- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
- REQUIMTE - Rede de Quimica e Tecnologia
- Universidade de Aveiro
- University of Bergen
- Carnegie Mellon University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Northeastern University
- Zintellect
- FEUP
- Harvard University
- Instituto Politécnico de Viseu
- Instituto de Educação da Universidade de Lisboa
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- National University of Singapore
- Nova School of Business and Economics
- University of Aveiro
- University of Birmingham
- University of British Columbia
- University of Canterbury
- University of Kansas Medical Center
- University of South-Eastern Norway
- Aarhus University
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Charles University, Faculty of Arts
- Duke University
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- Faculdade de Ciências Sociais e Humanas
- Faculdade de Ciências e Tecnologia
- Fundação Ensino e Cultura Fernando Pessoa
- Max Planck Institute for Comparative Public Law and International Law, Heidelberg
- Missouri University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- Nord University
- Queen's University Belfast
- Queen's University Belfast;
- The University of Queensland
- The University of Southampton
- Trinity College Dublin
- UNIVERSITY OF SOUTHAMPTON
- Universidade Católica Portuguesa
- Universidade Nova de Lisboa
- University College London
- University of Agder
- University of Inland Norway
- University of London
- University of North Carolina at Charlotte
- University of Stirling;
- University of Turku
- Université Libre de Bruxelles (ULB)
- Western Norway University of Applied Sciences
- Zukunftskolleg, University of Konstanz
- 46 more »
- « less
-
Field
-
methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See admission requirements: PhD in Social Science Applicants must meet the grade
-
of more of the following is desired: software engineering and systems design, formal methods, verification, and/or modelling, design and techniques for resilient and reliable systems (e.g. decentralised
-
, the percentage weighting of the methods used in the selection will be: Scientific and academic curriculum (SC): 80% Interview: 20% The candidate occupying the first place on the ranking list will be selected
-
cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
-
communication skills in English Formal competence and hands-on experience in DNA-based methods, including DNA-extraction, PCR, and analyses of high-throughput sequence data Competence and hands-on experience in
-
criteria and procedures: The selection methods to be used are as follows: curriculum assessment and interview, weighted at 70% and 30% respectively. Only the three highest-ranked applications will be
-
studying RNA biology in human neurological disorders. Particularly, an interest in studying G-quadruplex biology from both biological and therapeutic aspects is desired. Applied methods range from the use
-
original knowledge to the field and explain how the research question will be answered, showing insight into appropriate research methods. The applicant is also expected to be familiar with the problem area
-
PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
level. The project should have the potential to contribute new and original knowledge to the field and explain how the research question will be answered, showing insight into appropriate research methods
-
transfer pipelines from synthesis to TEM analysis, enabling high-throughput, correlative characterization. Develop and optimize sample preparation methods compatible with microdroplet-printed thin films