Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Leiden University
- Wageningen University and Research Center
- Erasmus University Rotterdam
- CWI
- KNAW
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology
- Delft University of Technology (TU Delft); Delft
- Maastricht University (UM)
- Radboud University
- University of Groningen; Groningen
- University of Twente
- Utrecht University; Utrecht
- Wageningen University & Research
- Wageningen University & Research; Wageningen
- Wetsus - European centre of excellence for sustainable water technology
- 11 more »
- « less
-
Field
-
for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice
-
techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques
-
of surface-atmosphere interactions and limitations in current observational methods . Traditional remote sensing techniques are generally indirect, inferring evaporation from thermal imagery and reflectance
-
Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
-
Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
-
with process safety and security concepts, accident modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Fluent in
-
the inside out. Your role: Develop experimental approaches for imaging-based characterization of soft matter. Apply and advance continuum mechanics and machine learning techniques to infer mechanical
-
creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
-
under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
-
different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in