Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, image processing, biological modelling and biostatistics. Experience working with (or knowledge in) plant cell walls, phytohormones signalling, mechanobiology, plant growth and development. Experience
-
competence, and a results-oriented and proactive attitude. Meritorious for the position are: Previous research related to CMDs, longitudinal data modelling, human genetics. Assessment Criteria and Selection In
-
will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
-
research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
-
by using computational models of development to simulate the evolution of evolvability. Main responsibilities The main tasks include: Large-scale simulations of development and evolution under
-
of teaching and learning (methods and models) as well as its actors (teachers and pupils/children) and their relationships. The research school is linked to a training environment for teacher education, where
-
educational contexts, and how content is legitimised. Furthermore, scientific didactics investigates the forms of teaching and learning (methods and models) as well as its actors (teachers and pupils/children
-
modeling of magnetic materials using first-principles methods. Good knowledge of programming is required. Meritorious experience for the position is demonstrated knowledge of Git, Python, Bash and VASP. Good
-
qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
-
the impact of processing techniques affect the (micro) structure as well as viscosity/texture of the model products. To establish the relationship between these characteristics and characteristics of the meal