Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
/projects-results/project-database/trans-aml-eu/ The PhD student will focus on: 1) developing robust pipelines and frameworks for preprocessing, harmonization, and integrative analysis of genomic
-
until 2026/05/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Harmonic analytic methods for (stochastic) partial differential equations Job description The Analysis group
-
science. The positions focus on machine learning, explainable AI, and cross-study analysis of large public microbiome datasets. Possible research directions include: Prediction of host and ecological
-
the field of modular forms theory and its connections with harmonic analysis. - Conduct research at the highest level - Collaborate with other researchers in the laboratory - Participate in the scientific
-
are particularly encouraged to apply. The position will be funded by the ERC Consolidator Grant “HARMONICON: Connecting Harmonic Analysis and Conformal Field Theory". The appointment will be for 2+1 years, starting
-
, programming, analysis and modeling in order to support projects. The Data Scientist/Statistician I will implement the research analyses, executing large-scale data harmonization, statistical analysis, and
-
and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq
-
transformations, harmonize identifiers, manage slowly changing attributes, and create repeatable ingestion workflows with testing, logging, and validation. A documented source-to-graph mapping for priority datasets
-
the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively participate in research
-
, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic health record text using large language models (LLMs) and clinical