Postdoc: Active-Learning Cell Tracking for Biomedical Imaging

Human Technopole; Milano; Ibrido; EUR 39.000 - 47.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation support

Parental support initiatives

Flexible working policies

Descrizione del lavoro

Human Technopole in Milan invites a highly motivated Postdoctoral researcher to lead the design, implementation, and training of active learning strategies for cell tracking. You will work on datasets from microscopy imaging, develop methods that adapt with few annotated samples, and integrate your network into the Motile Tracker GUI.

You will publish results in conferences and journals, collaborate with experimental labs, and mentor junior researchers while contributing to the Funke Group's

Competenze

• PhD or nearing completion in a relevant field.
• Experience with machine learning.
• Experience with scientific Python packages.
• A track record of impactful scientific contributions (papers, software, competitions).

Mansioni

• Lead the development of an active learning framework for cell tracking.
• Guide the development on real biomedical datasets.
• Publish results in conferences and journals with high-quality, open-sourced software.
• Initiate collaborations and mentor junior researchers.

Conoscenze

Experience with machine learning

Scientific Python packages

Formazione

PhD in Computer Science, Physics, Engineering, Biology, or related field

Strumenti

SciPy/NumPy stack

Descrizione del lavoro

Human Technopole in Milan invites a highly motivated Postdoctoral researcher to lead the design, implementation, and training of active learning strategies for cell tracking. You will work on datasets from microscopy imaging, develop methods that adapt with few annotated samples, and integrate your network into the Motile Tracker GUI.

You will publish results in conferences and journals, collaborate with experimental labs, and mentor junior researchers while contributing to the Funke Group's