PhD Position in Computational Biology: The PhD position in Computational Biology at the Wiirzburg Institute of Systems Immunology offers a unique opportunity to delve into the cellular circuits governing host-pathogen interactions. Our research focuses on understanding the molecular changes occurring in host immune cells and pathogens during inflammation and infection, with the aim of shedding light on pathogen clearance and tissue damage. Through cutting-edge technologies and computational biology methods, including machine learning and AI, we investigate how these circuits are generated and organized, paving the way for potential manipulation.
Summary Table:
PhD Position in Computational Biology Wiirzburg Institute of Systems Immunology, Wiirzburg, Germany
- Study Area: Computational Biology
- Scholarship Description: Investigating cellular circuits of host-pathogen interactions
- Eligibility: Master’s degree in Computer Science, Bioinformatics, Computational Biology, or Molecular Biology. Proficiency in programming and data visualization (e.g., Python). Basic knowledge of immunology, biochemistry, or systems biology. Strong interest in answering biological questions using computational strategies.
- Required Documents: CV (including GitHub Username), cover letter, and a short (max. 250 words) summary of your favorite research paper from the last five years.
- How to Apply: Send your application to caros.taavera.lopez@universityofwiirzburg.de.
Study Area: Our research in Computational Biology focuses on understanding the intricate cellular circuits that govern host-pathogen interactions, providing valuable insights into the molecular changes occurring during inflammation and infection.
Scholarship Description: Host-pathogen interactions involve complex molecular changes in both host immune cells and pathogens. Immune cells strive to eliminate pathogens, while pathogens attempt to evade the immune system, often resulting in tissue damage. Some pathogens, such as protozoans and fungi, undergo extensive genomic rearrangements to generate novel virulence factors. We aim to simultaneously study these host-pathogen changes, linking them with immune responses and establishing causal relationships. Computational biology serves as a powerful tool to integrate pathogen cellular processes and genomic rearrangements with host cellular dynamics.
Eligibility: To be eligible for this scholarship, candidates should possess a Master’s degree in Computer Science, Bioinformatics, Computational Biology, or Molecular Biology. Proficiency in programming languages like Python and data visualization is required. Basic knowledge of immunology, biochemistry, or systems biology is preferred. We are seeking candidates with a strong interest in leveraging computational strategies to address biological questions.
Required Documents: Applicants must submit a CV that includes their GitHub username, a cover letter outlining their motivation, and a concise summary (maximum 250 words) of their favorite research paper from the past five years.
How to Apply: Interested candidates should submit their application materials to caros.taavera.lopez@universityofwiirzburg.de.
Last Date: Until position filled
Note: We welcome candidates from diverse backgrounds, and we actively encourage female candidates to apply as part of our commitment to increasing the representation of women in scientific positions. Join us in pushing the boundaries of knowledge and making significant contributions to the field of computational biology!
