Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
datasets from multiple sources into a unified and coherent data framework. Data curation, cleaning and harmonization, including taxonomic standardization and alignment with existing reference databases. Data
-
to multiple high-impact publications and conference presentations, driving fundamental breakthroughs in High-Entropy Alloy design. The successful candidate will work in a highly collaborative, multidisciplinary
-
platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
-
assembly. - Excellent English proficiency Skills: - Strong competence in the use of bioinformatic tools such as plink or bcftools is a must. - Excellent command of R and Python scripting is required
-
Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
-
analysis and association studies with molecular and clinical variables. · Integration and harmonization of large-scale omics datasets from multiple sources. · Identification of molecular signatures and
-
to multiple R&D projects (both international and national) and doctoral theses with extensive experience in MSCA projects. Among the research fields, industrial cybersecurity stands out as one of the research