Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
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
-
Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
-
across the value chain. Using Bayesian Optimization / Modern Design of Experiment, we build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as
-
-documented track record in research into the cultural history of South Korea, Korean cultural studies, or related areas. The candidate should be genuinely interested in exploring childhood history between 1995
-
of drug repurposing regarding psychiatric effects of drugs and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational
-
background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
-
within the domain of drug repurposing regarding psychiatric effects of drugs and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within
-
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
-
if applicants can document a track record of research publications of a high international standard commensurate with the length of the applicant’s academic career experience of participation in national and