Sort by
Refine Your Search
-
, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
-
to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
-
that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
-
ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
-
, statistics, quantitative/qualitative analysis. - Appetite for educational AI, LLMs, or data analysis (advanced skills not required but appreciated). Cross-functional skills - Interdisciplinary teamwork
-
collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
-
biology We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
-
FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
-
research experience in music cognition, psycholinguistics, or ideally both, and a strong background in experimental design and statistical analysis. We are searching for someone highly motivated, interested
-
integrating a wide range of neutrino and dark matter models, and aiming to evaluate their effects on large-scale structure statistics (LSS), as measured by the power spectrum and bispectrum of galaxies