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EPFL

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Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology EPFL in Switzerland

Degree Level

Postdoc

Field of study

Cell Biology

Funding

Available

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Country

Switzerland

University

EPFL

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Keywords

Cell Biology
Computer Science
Biomedical Engineering
Biology
Developmental Biology
Neuropsychology
Epigenetic
Statistics
Statistical Modelling
Bioinformatic
ML

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About this position

The Zenk Lab at EPFL’s NeuroNA Chair in Epigenomics of Neurodevelopmental Disorders (EpiGN) is seeking a postdoctoral researcher for an interdisciplinary project at the intersection of single-cell genomics, machine learning, and developmental biology.

The position focuses on integrating and analysing multi-modal single-cell datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, Hi-C, and proteomics, to study trajectory inference, regulatory dynamics, and cell fate decisions. A central aim is to use machine learning to integrate these datasets and uncover principles of cellular state transitions.

The postdoc will work closely with other labs at EPFL, in a research environment that combines experimental biology with computational genomics and provides access to large single-cell multi-omics datasets. The role also includes collaboration, publication of results, networking in the field, and participation in the supervision of PhD and master students.

Funding details

Available

What's required

Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field is required. Applicants should have experience with machine learning and/or statistical modeling applied to biological data, proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq), interest or experience in multi-modal data integration and trajectory inference, and proficiency in Python and/or R. Interest in developmental and human biology is highly valued but not required, and a strong collaborative mindset with ability to work across disciplines is expected.

How to apply

Apply through the EPFL careers portal using the provided application link. Use the reference 2072 when referring to the position. Submit the application through the online recruitment process.

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