Fully Funded PhD Scholarship in Single-Cell Sequencing : Dive into the world of cutting-edge deep learning and bioinformatics with a fully funded PhD position at DTU Compute, Denmark, focusing on developing deep generative models to advance single-cell RNA sequencing analysis.
Fully Funded PhD Scholarship in Deep Generative Models for Single-Cell Sequencing Analysis
Designation:
PhD Scholar
Research Area:
Development of deep generative models for enhanced analysis of single-cell RNA sequencing data
Location:
DTU Compute, Kgs. Lyngby, Denmark
Eligibility/Qualification:
- Master’s degree in computer science, bioinformatics, computational biology, or related field
- Strong background in machine learning, particularly deep generative models
- Proficiency in programming (Python preferred) and experience with deep learning frameworks such as PyTorch, TensorFlow, or Jax
- Excellent command of English language, both written and spoken
Job Description:
As a PhD Scholar, your responsibilities will include:
- Developing and implementing deep generative models for single-cell RNA sequencing data
- Collaborating with interdisciplinary teams in computational biology and bioinformatics
- Publishing research findings in leading scientific journals and conferences
- Presenting project updates and findings at national and international events
How to Apply:
To apply for this scholarship, please submit your online application no later than 9 November 2024 (23:59 Danish time). Your application should include:
- Letter motivating the application (cover letter)
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
- Curriculum vitae (including GPA for both BSc and MSc)
- Two letters of recommendation (mandatory)
- An example of a technical text you have written in English (e.g., MSc thesis, course project, scientific article)
Last Date for Apply: 9 November 2024
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