Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, mathematics or a related discipline. The PhD must be completed no later than the time the employment decision is made. Strong ability to develop and conduct high-quality research. Pedagogical ability. Research
-
postdoctoral fellows and PhD students in an international work environment. Center for the Human Past The CHP is a pioneering initiative that unites the three research areas of archaeology, genetics, and
-
duties. The position will involve a mixture of methodological and collaborative research in diabetes genetics and genomics. The methodological research may include but is not limited to statistical models
-
within the subject of neuroscience, engineering, statistics, quantitative biology, physics, mathematics or a related discipline. The PhD must be completed no later than the time the employment decision is
-
diabetes genetics and genomics. The methodological research may include but is not limited to statistical models using genetic data from family-based studies as well as -omics data for integrative
-
at – or in close collaboration with – several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical
-
– several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical optimisation, and to collaborate
-
genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis
-
University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
-
, innovative technologies for biomass conversion, neural network systems, and artificial intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on