PhD position

**Job Description**
This PhD position is a collaborative effort between Erasmus MC and Delft University of Technology, focused on enhancing donor organ utilization through the integration of cell therapy techniques with advanced organ perfusion strategies. The project aims to develop and implement a point-of-care spectroscopic sensor to monitor the impact of cell therapy during organ perfusion. This involves generating experimental data, developing data processing pipelines, and training machine learning models to identify biological states of the liver. The goal is to create a closed-loop fluidic system for automated operation and identify novel biomarkers for perfusion monitoring, combining both experimental and computational activities.

**Skills & Abilities**
• Strong affinity to work at the boundary of multiple disciplines (biomedical research, organ and cell biology, machine learning).
• Intrinsic motivation to expand horizons.
• Ability to learn quickly.
• Strong communication skills to connect with experts.
• Pro-active and problem-solving mindset.
• Excellent written and spoken English skills.
• Ability to break down and communicate complex research data.
• Thrives in a fast-paced, multidisciplinary, and highly collaborative environment.
• Experience with analyzing spectroscopic data and/or -omics data (plus).
• Mammalian cell culture (plus).

**Qualifications**
Required Degree(s) in:
• Technical medicine
• Bioengineering
• Biomedical science
• Immunology
• Biotechnology
• (Bio)analytical chemistry
• Bioinformatics
• Closely related field

**Experience**
Other:
• Recent experience during MSc thesis and/or MSc internship with biological lab work (e.g., sample preparation, cell/protein assay development, or cell culture).
• Recent experience during MSc thesis and/or MSc internship with (bio)chemical analytical techniques (e.g., HPLC, GC, ELISA, flow cytometry).
• Recent experience during MSc thesis and/or MSc internship with analyzing complex and/or multidimensional datasets.
• Recent experience during MSc thesis and/or MSc internship with programming for data analytics (e.g., Python, R).

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