Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Maastricht University (UM); Maastricht
- Maastricht University (UM)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- Delft University of Technology (TU Delft)
- Leiden University
- University of Twente
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- AcademicTransfer
- Delft University of Technology (TU Delft); Delft
- Erasmus University Rotterdam
- KNAW
- Leiden University; Leiden
- Radboud University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- Utrecht University
- 11 more »
- « less
-
Field
-
Welcome to Maastricht University! Complex problems are often solved by systems of teams working together interdependently on a common goal. The current project applies both laboratory and field
-
, ethology, physics, or engineering, with a strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex
-
, and machine learning for data analysis. This includes an intrinsic motivation to expand your horizon, ablilty to learn quickly, and strong communication skills to easily connect with other experts in
-
field concerning health (e.g., health science, health psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational
-
psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational modelling) or willingness to develop relevant skills (in
-
systems, focussing on the inclusion of thermal aspects. You can leverage a large body of existing research and software for the efficient simulation of complex geometrically nonlinear mechanical elastic
-
resource-use efficiency of the greenhouse, e.g., maximizing the kg of food produced per unit of energy, requires growers to consider a complex relationship between the short- and long-term consequences
-
resource-use efficiency of the greenhouse, e.g., maximizing the kg of food produced per unit of energy, requires growers to consider a complex relationship between the short- and long-term consequences
-
environment. A part of the project is also affiliated with an academic-industrial collaboration and provides the opportunity to study interesting, complex physics, and solve real world problems. Where to apply
-
University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be