Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Radboud University
- Wageningen University & Research
- Amsterdam UMC
- Leiden University
- University of Groningen
- University of Twente
- University of Twente (UT)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Vrije Universiteit Amsterdam (VU)
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc)
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- AMOLF
- Amsterdam UMC, location VUmc
- Erasmus University Rotterdam
- KNAW
- 14 more »
- « less
-
Field
-
migrants’ social networks become sources of support or deficit, and under what conditions do they reinforce economic vulnerability? The PhD project combines comparative secondary analysis with original cross
-
17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Application
-
main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured
-
design, data analysis and scientific communication. Enjoy working independently while collaborating in an international multidisciplinary team. Have excellent written and spoken English skills. English is
-
, using wearables, interviews and ethical analysis to improve staff support and reduce coercion. Aggression in residential treatment settings remains a significant challenge for care professionals
-
, or prior research) Proficiency in programming using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy
-
government. The central aim of FIRM is to estimate flood and water nuisance risk information as realistically as possible and to make it suitable for use in the financial sector. FIRM consists of four
-
. Demonstrable experience with data processing, signal analysis and programming (e.g. Python/Matlab). Ability to work independently as well as in a multi-disciplinary team. Fluent in English (oral and written
-
experience with experimental techniques, especially in optical microscopy and colloidal particle synthesis, is considered a strong asset. Programming and Data Analysis: Working knowledge or hands-on experience
-
analytical skills, with experience in qualitative and/or quantitative methods and familiarity with common data-analysis tools. You can work independently and as part of a multidisciplinary team, show