Sort by
Refine Your Search
-
Program
-
Employer
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Groningen
- AcademicTransfer
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- Maastricht University
- Maastricht University (UM)
- Radboud University
- Tilburg University
- Wageningen University and Research Center
- 1 more »
- « less
-
Field
-
years. We will analyse: (macro-level) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social
-
and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness
-
cognition, and particularly biological mechanisms. Experience in analyzing large datasets with repeated assessments. Above average statistical skills, preferably R. Excellent writing and presenting skills
-
set curated by CBS (Statistics Netherlands). The collaboration involves various faculties at the University of Amsterdam, including the Faculty of Science (FNWI), the Faculty of Economics and Business
-
: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and
-
of uncovering the interplay between the various mechanisms underlying the social phenomena of polarization, segregation and inequality using a large data set curated by CBS (Statistics Netherlands
-
of our planet’s resources, one of the main goals of WUR. Your qualities You possess: A PhD degree in ecology, wildlife biology, conservation biology, statistics, computer vision, data science or a related
-
skills in English. You are able to publish in international peer-reviewed journals as a first author. You have experience with multivariate and longitudinal statistical analyses. You are motivated
-
supervising graduate students. Candidates must have a strong background in biomedical informatics, bioinformatics, computer science, data analytics, or (bio)statistics. Proven expertise in machine learning, in
-
., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Show commitment, perseverance and a cooperative attitude; Enjoy working in a