Postdoc Fellow - Multimodal Data Integration

Aretè & Cocchi Technology; Napoli; Ibrido; EUR 25.000 - 30.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health care coverage

Relocation assistance

Descrizione del lavoro

IIT invites applications for a Postdoctoral researcher in multimodal data integration and correlation analysis in Naples, Italy. The role focuses on integrating electrophysiological, structural, imaging and biochemical readouts to identify quantitative patterns and functional signatures.

You will work in a multicultural, multi-disciplinary group coordinated by Prof. Paolo Netti, developing data-driven approaches and applying statistical methods to complex datasets from advanced in vitro models.

Competenze

• PhD in STEM field required.
• Documented experience in quantitative data analysis and integration of heterogeneous datasets.
• Experience with data correlation, feature extraction, pattern recognition, and multivariate analysis.
• Experience with complex, multimodal datasets.
• Proficiency in Python, Matlab, or equivalent tools.
• Good command of English.

Mansioni

• Analyze and process electrophysiological data from interconnected neural in vitro models.
• Develop computational approaches for data correlation, feature extraction, and dimensionality reduction.
• Correlate electrophysiological readouts with structural, imaging, biochemical, and functional parameters.
• Develop statistical and data-driven methods to identify multimodal signatures under different conditions.

Conoscenze

Quantitative data analysis

Statistical analysis

Data integration

Multivariate analysis

Analytical reasoning

Formazione

PhD in STEM field

Strumenti

Python

MATLAB

Descrizione del lavoro

IIT invites applications for a Postdoctoral researcher in multimodal data integration and correlation analysis in Naples, Italy. The role focuses on integrating electrophysiological, structural, imaging and biochemical readouts to identify quantitative patterns and functional signatures.

You will work in a multicultural, multi-disciplinary group coordinated by Prof. Paolo Netti, developing data-driven approaches and applying statistical methods to complex datasets from advanced in vitro models.