Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, and European projects on the topic Publish research findings in the prestigious peer-reviewed journals and present at relevant conferences Contribute to different research projects, either coordinating
-
potential research sponsors Excellent oral/written communication skills and interpersonal skills Experience with programming languages (e.g., Python, R, Java, PHP) and/or technology design methods and tools
-
in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
-
approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
-
The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
-
individuals tend to have a different gut microbiome makeup compared to lean people. This often includes lower bacterial diversity and a shift in the ratio of certain types of bacteria. Moreover, the gut
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 17 minutes ago
evaluation. Demonstrated proficiency in programming (Python required). Ability to work independently while contributing to collaborative, interdisciplinary research efforts. Knowledge, Skills & Abilities
-
to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
-
global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of
-
data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent