Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- Wageningen University & Research
- CWI
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Leiden University; today published
- Radboud University
- University of Amsterdam (UvA)
- Utrecht University
- AMOLF
- Amsterdam UMC
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Maastricht University (UM)
- Maastricht University (UM); 3 Oct ’25 published
- Maastricht University (UM); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); yesterday published
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- Wageningen University and Research Center
- 18 more »
- « less
-
Field
-
such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
-
Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
-
geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
-
interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
-
researchers in soft robotics, control theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be
-
13 Sep 2025 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Biological engineering Biological sciences » Biology Chemistry » Analytical
-
questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g., machine learning, stochastic dynamic programming
-
large cohort. As a PhD student in a new domain of research we expect you to: Conduct cutting-edge research in neuro-behavioral sciences using advanced analytical techniques. Collaborate with clinical
-
intersection of mechanics, materials, and machine learning. Collaboration with international experts from diverse disciplines. Access to cutting-edge computational and experimental facilities. Supervision of MSc
-
Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale