Nanobubble Ultrasound for Cancer Diagnostics PhD

Eindhoven-University-of-Technolog; Eindhoven; Sur place; EUR 38 000 - 49 000; Plein temps

Avantages offerts par ce poste

ABP pension scheme

OpenUp mental health support

Commuting and home internet allowance

Tu/e training programs

Child care on campus

Health and well‑being programs

Résumé du poste

The PhD candidate will develop modeling and signal analysis methods to turn nanobubble ultrasound imaging into quantitative diagnostic biomarkers for cancer, using lab-grown vascular models and time-dependent data.

Based at the Biomedical Diagnostics lab in the TU/e Department of Electrical Engineering, you will collaborate with TU/e, University of Twente, and industrial partners to translate imaging signals into pharmacokinetic and spatiotemporal models that describe nanobubble transport and

Qualifications

• Master's degree or equivalent in a relevant field.
• Strong background in signal processing, modeling and data analysis.
• Proficiency in MATLAB and Python.

Responsabilités

• Develop modeling and signal analysis methods for nanobubble ultrasound imaging.
• Translate imaging data into pharmacokinetic and spatiotemporal models.
• Collaborate with TU/e, University of Twente and industry partners.

Connaissances

Signal processing

Kinetic modeling

Quantitative data analysis

Interdisciplinary collaboration

Formation

Master's degree in Electrical Engineering or related field

Outils

MATLAB

Python

Description du poste

The PhD candidate will develop modeling and signal analysis methods to turn nanobubble ultrasound imaging into quantitative diagnostic biomarkers for cancer, using lab-grown vascular models and time-dependent data.

Based at the Biomedical Diagnostics lab in the TU/e Department of Electrical Engineering, you will collaborate with TU/e, University of Twente, and industrial partners to translate imaging signals into pharmacokinetic and spatiotemporal models that describe nanobubble transport and