Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Leiden University
- University of Twente
- Wageningen University and Research Center
- Utrecht University
- Radboud University
- Erasmus University Rotterdam
- CWI
- Delft University of Technology (TU Delft)
- KNAW
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Eindhoven University of Technology (TU/e)
- Radix Trading LLC
- University of Twente (UT)
- 6 more »
- « less
-
Field
-
-method approach, combining quantitative and qualitative research techniques. It will draw upon the Dutch Femicide Monitor, including data from law enforcement, public prosecutor, courts and the media
-
this PhD position, please consult Sander Lenferink . Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this
-
University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
-
networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
-
particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
-
chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
-
, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation
-
practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water
-
to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
-
-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre provides access to extensive global datasets, fostering collaboration across disciplines and