Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- University of Amsterdam (UvA)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Wageningen University & Research
- Radboud University
- University of Twente (UT)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Amsterdam UMC
- University of Groningen
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- IHE
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- Stichting Climate Litigation Network
- Tilburg University
- Universiteit Leiden
- University Medical Centre Groningen (UMCG)
- 18 more »
- « less
-
Field
-
programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you immediately recognise
-
, or a related field; Good publication record in ML, and/or computational methods for audio data. A publication record in ML applied to bioacoustics is a bonus; Good programming skills in Python
-
building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or
-
., in Python. A keen interest in interdisciplinary research. An excellent command of English, as you’ll be working in an internationally diverse community and with international partners. Ability to learn
-
skills (Matlab/Python coding, user-defined FE routines, …), o theoretical (mechanical) analyses, o microstructure-based simulations (using experimental microstructures) o materials and microstructure
-
large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
-
to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student cohorts is an advantage
-
science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge of physics or biophysics. Knowledge
-
of the project interests: you should have a strong interest in statistical theory, methodology and implementation programming skills: you should have excellent programming skills in R/Python proficient
-
degree) in (applied) physics, electrical engineering, or related subjects. Solid background in quantum optics, quantum mechanics, and photonics. Knowledge of programming languages such as Python and MATLAB