Sort by
Refine Your Search
-
Program
-
Employer
- Radboud University
- University of Groningen
- Eindhoven University of Technology
- Leiden University
- Delft University of Technology
- Delft University of Technology (TU Delft)
- University of Amsterdam
- Vrije Universiteit Amsterdam (VU)
- AcademicTransfer
- Amsterdam UMC
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam (EUR)
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam
- Wageningen University & Research
- Wageningen University and Research Center
- 10 more »
- « less
-
Field
-
, or other types of political violence, armed conflict, or conflict processes. To align with TERGAP, the PhD candidate’s research is expected to develop a quantitative research design applying statistical
-
using such tools in combination with approximate hardware models and statistical techniques, thus exploring the design space of possible solutions. Finally, through design-space exploration targeting
-
statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be self-propelling and drive your own research. Ability to work in an interdisciplinary
-
into explanatory quantitative studies, using existing large-scale survey data from Statistics Netherlands (CBS) using multilevel analysis to discern explanations and outcomes at the individual and organisational
-
quantitative statistical methods, using software such as R; A communicative, persistent and meticulous character; Excellent command of written and spoken English. Preferred Qualifications: Demonstrated affinity
-
of reverberation chambers. This is why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly
-
degree in health sciences, public health, epidemiology or similar; Experience with doing epidemiological analyses and publishing scientific articles; Skills in advanced quantitative statistical methods
-
, statistics, life sciences or a similar area. You possess a strong background in data analytics and machine learning methods. You enjoy gaining, combining, and translating knowledge from multiple fields and
-
-curative care. Requirements Specific Requirements The successful applicant is expected to have a recent or almost completed MSc degree in a relevant discipline, e.g., psychology, statistics, health sciences
-
. Requirements Specific Requirements You hold a MSc degree in bioinformatics, computer sciences, statistics, life sciences or a similar area. You possess a strong background in data analytics and machine learning