Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
another’s emotional state is their facial expression. Although we appear to effortlessly attribute emotional states, such as those associated with the terms ‘sad’ or ‘happy’, to different facial expressions
-
publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
-
will evaluate potential biases among different measurement approaches —including thermochronology, cosmogenic nuclides, and suspended sediment records— and apply advanced statistical analyses and erosion
-
and changes in the city on ridership (frequency, duration, location, etc). We will also look at different user segments, such as tourists and inhabitants and compare their ridership, etc. For this we
-
interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
-
of different types of populations. Work closely together with a PhD candidate on the same project and provide help with setting up simulations. Investigate the trend in genetic variance and genetic correlations
-
make a difference in the world! Position Information Postdoctoral Research Associate in Agricultural, Animal, Rangeland, or Environmental Sciences Location: Texas A&M AgriLife Research, Temple, Texas
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
and proficiency in Python (preferred) and/or MATLAB for data analysis are required. Experience with the assessment of masonry structures under multiple loading hazards. Language: Excellent command
-
for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in (computational) Bayesian methods and statistical learning for high-dimensional data is