Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
- Computer Science
- Economics
- Medical Sciences
- Biology
- Linguistics
- Arts and Literature
- Chemistry
- Engineering
- Mathematics
- Science
- Social Sciences
- Environment
- Materials Science
- Law
- Business
- Earth Sciences
- Humanities
- Philosophy
- Psychology
- Education
- Electrical Engineering
- Sports and Recreation
- 12 more »
- « less
-
you like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You hold an MA or Research MA degree in Linguistics
-
guidelines and advice. Possesses good organisational skills and perseverance. Demonstrates competencies such as conceptual ability, presentation, planning, and monitoring progress. Our working conditions are
-
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
-
., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
-
choose between 30 or 41 days of annual leave instead of the statutory 20. Additional employment conditions Work and science require good employment practices. Radboud University's primary and secondary
-
that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
-
, 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
-
that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group