Phd Student: Deep Learning in Genomics to Decode
Il y a 2 mois
**PhD student: deep learning in genomics to decode cellular identities in the human brain**:
- Employer- VIB- Location- Leuven- Closing date- 5 May 2024- Discipline
Life Science
Job Type
PhD Position
Employment - Hours
Full time
Duration
Permanent
Qualification
Professional certification
Sector
Academia- You need to sign in or create an account to a job.
- Job Details
- Company
**Job Details**:
The project, funded by an FWO Strategic Basic Research (SBO) grant, will focus on designing and testing genomic enhancers to target transgenes to specific cell types in the mouse brain and in cultured human brain biopsies using adeno-associated viral vectors. Whereas you will focus on AI modeling, other members in the consortium will perform wet-lab experiments to test your predictions and designed DNA sequences. This provides an opportunity to get acquainted with “wet-lab” experimental research. The PhD student will be stationed at ESAT-STADIUS in the Moreau group but will be embedded in both the Moreau and the Aerts labs as well as the new VIB Center for AI & Computational Biology and the Leuven Bioinformatics and AI community. The PhD student will be jointly supervised by Yves Moreau and Stein Aerts.**Publications**
Check out some of our recent publications
- From the Aerts lab, related to deep learning in genomics:
- Minnoye & Taskiran, Genome Research 2020;
- Kalender Atak & Taskiran, Genome Research 2021
- Janssens, Aibar & Taskiran, Nature 2022
- Taskiran et al., BioRxiv 2023
- From the Moreau lab, related to deep learning:
- Verplaetse et al., Genome Biology 24 (1), 224, 2023
- Passemiers et al., arXiv:2304.02383, 2023
- Oldenhof et al., arXiv:2303.05148, 2023
- Raimondi et al., Bioinformatics 37 (16), 2275-2281, 2021
Profile
- You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent. Please note that to be admitted to the doctoral training distinction (= cum laude) based on your study results or professional realizations is a strict requirement.
- Comprehensive AI background (deep learning, probabilistic modeling, generative AI)
- Proficient in Python programming
- Experience with machine learning is a plus (e.g., PyTorch/Tensorflow/Keras)
- Experience with explainable AI (e.g., SHAP) is a plus
- Experience with high-performance computing, software containers
- Experience with genomics is a plus, but not essential
- Ability to work independently and in a team.
- Proficiency in oral and written English.
We offer
- Access to state-of-the-art compute & GPU infrastructure
- A stimulating international research environment
- You can be engaged in our SBO consortium, bringing together research labs across the University of Leuven, University of Antwerp, and VIB
- Competitive salary and benefits
- Starting date: as soon as possible
**Company**:
**Company info**
- Website-
- Telephone- 09446611- Location- Rijvisschestraat 120
- Zwijnaarde
- Belgium
- 9052
- BE
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