PhD Developing AI Tools to Crack the Molecular Basis of Growth and Stress Resilience in Plants
Job Summary
We are seeking a highly motivated PhD candidate to develop computational models for investigating growth-stress trade-offs in plants, focusing on protein complexes and their roles in signaling and transcriptional regulation. This involves leveraging multi-omics datasets and hybrid modeling strategies to enhance plant resilience.
Responsibilities
- Develop machine learning approaches to model protein interactions and influence on gene expression under stress conditions.
- Integrate mechanistic representations like dependency graphs with data-driven methods such as ensemble predictors.
- Explore hybrid modeling strategies using datasets including protein interaction profiles, DNA-binding assays, and transcriptomic data.
- Collaborate with computational modelers and experimental biologists to validate and refine models.
- Contribute to identifying key regulators of growth-stress resilience and support experimental validation.
- Integrate multi-omics datasets (e.g., RNA-seq, AP/MS, proximity ligation, GWAS) to identify regulatory modules and interaction networks.
- Develop hybrid models to simulate plant responses to environmental stress and propose smart experiments for improvement.
Qualifications and Requirements
- A Master's degree in Computer Science, Artificial Intelligence, Computational Biology, Bioinformatics, or a related field, with an affinity for plant sciences.
- Strong background in machine learning and data analysis.
- Experience with biological data integration and simulation modeling.
- Excellent programming skills (e.g., Python, R) and familiarity with machine learning libraries.
- Strong analytical thinking, problem-solving skills, interpersonal communication, and collaboration abilities.
- Proficiency in English.
- Ability to work independently and as part of a multidisciplinary team, with dedication, adaptability, and resilience.
What the Employer Offers
- Work on cutting-edge research with real-world impact in agriculture and plant biology.
- Join a collaborative, interdisciplinary research environment.
- Access to state-of-the-art computational and laboratory facilities.
- Support for professional development and participation in international conferences.
- A 4-year employment contract, starting with 1.5 years and extendable based on performance.
- Salary ranging from €3059 to €3881 per month, in accordance with the Collective Labour Agreement for Dutch Universities.
- Enrollment in the TU Delft Graduate School for research skills development.
- Customizable compensation package, discounts on health insurance, and monthly work costs contribution.
- Support for relocation and dual career programs if needed.
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