About the lab
The De Wit lab (Laboratory of Synapse Biology) at the VIB-KU Leuven Center for Brain & Disease Research, Belgium, is seeking a highly motivated computational postdoctoral fellow to work on molecular connectomics of neural circuits.
About the project
Neural circuits are composed of different neuronal cell types connected in highly specific patterns. Single-cell sequencing has provided a major advance in dissecting brain cell type diversity at the molecular level. However, it is the connections between these cells and their specific properties that make a neural circuit. Understanding the brain therefore, requires approaches to dissect its connectome at the molecular level.
This project aims to analyze and integrate multi-omics datasets to map the molecular connectome that controls connectivity and function of specific neural circuits.
The main goal of our laboratory is to unravel the molecular mechanisms that regulate precise synaptic connectivity in developing circuits and determine how connectivity is affected by disease (see references below). Our research focuses on the cell-surface interactions that specify connectivity.
The successful candidate will interact closely with the wet lab to analyze and integrate newly generated datasets on single-cell and spatial transcriptomes, cell-type-specific translatomes, extracellular interactomes, and synaptic proteomic datasets for specific hippocampal and cortical circuits. The goal of this effort is to map the molecular connectome and provide a framework for how circuits are built.
- Apóstolo et al. Nature Commun (2020). 11(1) 1-21
- Rice et al. Science (2019). 363(6423)
- Condomitti et al. Neuron (2018). 100:201-215
- Schroeder et al. Neuron (2018). 99:329-344
- Schreiner et al. Curr Opin Neurobiol (2017). 42:102-110
We are seeking a highly motivated, enthusiastic, critical and creative individual to join our team. The candidate should have an interest in neurobiology and interact closely with the wet lab.
- Ph.D. in the Life Sciences, computer science, or related field, with a strong focus on computational biology
- Experienced with programming (Python, R) and analysis of next-generation sequencing data
- A solid publication record with first-author research publication(s) in peer-reviewed international journals
- Team player
- Desirable but not required
- Experience with single-cell omics data is a plus
- Experience with machine learning is a plus
- Experience with proteomics data is a plus
- A versatile and challenging job in a vibrant, world-class research environment operating at an international level
- Close interactions with our colleagues Stein Aerts (Lab of Computational Biology), Kristofer Davie (Single-Cell Bioinformatics) and Suresh Poovathingal (Single-Cell & Microfluidics)
- Connections with Leuven.AI
- State of the art research facilities
- A dedicated training program to broaden your expertise and enhance your skillset
- A competitive compensation package based on expertise and experience
- Financial support for at least 2 years. The successful candidate is encouraged to obtain a personal fellowship (Marie-Curie, HFSP, EMBO, or national funding organizations)
Starting Date: as soon as possible
How to apply?
For more information contact email@example.com. Please complete the online application procedure and include a motivation letter, a detailed CV incl. list of publications, and the contact information of three referees.