31 estimation-methods "https:" "Computer Vision Center" positions at Leiden University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
this postdoc position, the focus is on methods and algorithms for large-scale graph analytics, in particular network science approaches for analyzing longitudinal, population-scale relational data derived from
-
on performance during Fischer-Tropsch synthesis under intermittent conditions using operando scanning probe microscopy, developed in our group. Other characterization methods such as low-energy electron
-
and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
-
vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
-
10 Apr 2026 Job Information Organisation/Company Leiden University Research Field Educational sciences » Education Educational sciences » Teaching methods Researcher Profile Recognised Researcher
-
Dutch is considered an asset. You have the willingness to master a B1 level of fluency in Dutch within two years; Demonstrable command of a diversity of research methods and techniques; A growing network
-
of the world’s languages and features unique linguistic expertise. Current theoretical insights are combined with modern experimental methods in its research profile area ‘Language Diversity in
-
neuroscientific perspectives using a wide range of experimental methods. LIBC is an interdisciplinary institute focused on the study of brain and cognition. The institute provides extensive infrastructure and
-
understanding which sanctions are imposed across individuals’ lives? Do you have the skills to conduct quantitative analyses and an interest in applying advanced methods to large-scale datasets? And do you enjoy
-
, the integration of such solutions into urban planning and policy remains limited due to the lack of systematic, data‑driven, and evidence‑based methods. This PhD position is part of the ReSURE2 project