Sort by
Refine Your Search
-
Listed
-
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
- University of Twente (UT)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Maastricht University (UM)
- 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
-
, Python, Matlab, or C++ A keen interest in advancing our understanding of marine ecosystems, polar regions, and/or biogeochemistry Proficient communication skills in spoken and written English Experience in
-
modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
-
related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
-
both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden, embedded within
-
research, computer science or a related field. Applicants should have knowledge of hydraulics, water-distribution-system modelling, optimisation and programming in Python, together with strong written and
-
Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
-
deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch
-
numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work independently while also collaborating in
-
; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of an interdisciplinary research team. The following qualifications
-
audiences and collaborate across disciplines; proficiency in spoken and written English. Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine