Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
master’s thesis on literary translation is highly recommended. Familiarity with theories and concepts related to retranslation (retranslation studies, retranslation theory) is recommendable. Familiarity with
-
Netherlands and Turkey. It will provide rich and compelling ethnographic evidence of everyday practices and will generate theories of social institutions and a broader theory of remote work and social change. What
-
and artificial intelligence or the introduction of digital design theory and practice . This research approach should address questions of automation and AI-based design in the context of a sustainable
-
Netherlands and Turkey. It will provide rich and compelling ethnographic evidence of everyday practices and will generate theories of social institutions and a broader theory of remote work and social change. What
-
university research policies . You act with attention to quality, integrity, creativity and cooperation. Desired skills: You understand the theory behind and have hands-on experience with single-cell data
-
pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
-
of economics and development. Position You will work actively on the preparation and defence of a PhD thesis in the field of economics and development. The PhD project will use theory and survey experiments
-
communication and writing skills in English Required skills confident in basic molecular biology techniques, such as cell cultures, basic genomics data generation knowledge of (theory behind) gene regulatory
-
competence test: (iii) a report and (iv) a file with the code used (more info about the data analysis competence test is to be downloaded here https://www.uantwerpen.be/en/research-groups/pleco/organisation
-
experience with coding in C++, python/matlab. GPU programming is a definite plus. You have experience in applying deep learning to solve computational imaging problems. Experience with inverse problems such as