Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Radboud University
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- University of Twente
- Leiden University
- AcademicTransfer
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- European Space Agency
- Maastricht University (UM)
- Wageningen University and Research Center
- Amsterdam UMC
- CWI
- Naturalis
- University Medical Center Utrecht (UMC Utrecht)
- Utrecht University
- Wageningen University & Research
- 8 more »
- « less
-
Field
-
), machine learning, network analysis, and econometrics. Proven ability using industrial ecology methods, such as LCA, MFA, and (MR)IOA to assess the scale and drivers of social, economic and environmental
-
of the research proposal funded by NWO, you can contact Dr. Mireille Post (m.d.hubers@utwente.nl; +31534891115). You can find more information about the section Professional Learning & Technology via this link
-
modelling, wavefront shaping, and machine learning algorithms. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 15 June
-
develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
-
composition, processing, and consumer responses. The AI system developed will utilize advanced techniques such as machine learning, natural language processing, and predictive modeling to detect potential
-
the “Translator” work package within the core research programme of CropXR. Our goal is to develop computational methods to translate integrated plant models between species, combining machine-learning inferred
-
collaboration with educators, subject matter experts on DR, and edtech designers, the role of the postdoc will be to: Design of innovative pedagogical methodologies for learning pathways that support self-paced
-
will collaborate with the various members of the Building on Digital Identity project (including computer scientists, programmers, UX researchers and designers). On the legal side, Professor Pieter
-
with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
-
related field. You have a strong background in quantitative research methods, including statistical modelling, data analysis, machine learning, and/or GIS analysis. You have proven expertise in climate