Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
-
oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
-
impacting human health around the globe. If you have a passion for making a difference, this could be your opportunity to join our transformative team. POSITION TITLE: Postdoctoral Associate POSITION SUMMARY
-
requirement. You will have : Ability to process and interpret microbiota and metabolomics data Familiarity with latest relevant tools in combining data across different modalities/levels (e.g. mixomics, maaslin
-
an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying
-
relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
-
validation against established individual-difference measures (Step 2), and experimental validation using paradigms including role-playing, trust games, and group decision-making (Step 3). The role involves
-
analysis skills, with a minimum of 3 years of statistical programming experience with R (possibly also Stata, Python or other statistical software) Excellent oral and written English-language communication
-
-actively collaborate in a network of different research groups Willingness to work in a team and to mentor PhD students Strong written and verbal communication skills in English The following experience will
-
addition to holding a PhD, you must have a strong analytical background and experience in quantitative ecology, spatial analysis, handling large and complex datasets, and proficiency in programming (e.g., R or Python