Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Postdoctoral research fellow in taste receptor pharmacology at the Department of Biomedical Sciences
is built on community, trust, openness, honesty, and solidarity and strives to embody the scientific method, objectivity, and reproducibility. We value open science, knowledge and data sharing and
-
and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
-
linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
-
machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
-
bioinformaticians within and outside the group to accomplish scientific objectives; disseminate your expertise to new lab members, participate in grant writing and be actively involved in scientific discussions
-
proven track record of research publications. Proven ability to conduct independent research Effective communication and mentoring skills. A commitment to diversity and inclusion in the workplace
-
environment is also an advantage. A collaborative mindset and proven track record is an advantage. Excellent communication skills and interpersonal skills as well as an excellent command of the English language
-
the domain of drug repurposing in psychiatry and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational research and
-
organisations and a successful track record of national and international research projects. You will have a close collaboration with the Food lab at DTU Skylab regarding the product development activities
-
join the Grand Solution project "DRONES: Drone-Obtained Electromagnetic Signatures" to explore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization