Open Positions
Postdoc
Postdoc position, 3 years fixed contract
Background
The position is affiliated with the DFG Research Training Group “GönomiX”, which aims to reveal how animal diversity evolves through changes in developmental gene regulatory networks (GRNs). Focusing on anterior head patterning, we study Wnt signaling and target gene interactions in the anterior GRN in our “Göttingen Zoo” of emerging animal model systems.
Project
You will play a central role in a collaborative project aiming at a cross-species comparison of GRNs, which includes comparative transcriptomics and participation in our bioinformatics experts’ efforts to develop novel tools for cross-species comparison.
We are looking for a highly motivated and enthusiastic scientist with an interest in working with emerging model systems and conducting bioinformatics analyses of transcriptomic data for the reconstruction of GRNs. You should have excellent communication skills and enjoy working in a team as you will be collaborating with PhD students to coordinate data generation and with bioinformatics experts to discuss the development of novel tools.
Your tasks
• Coordination of the molecular definition of developmental stages, which are comparable across species and support during the gathering of respective transcriptomic data.
• Analysis of the whole transcriptomics dataset with a focus on temporally resolved GRN reconstruction and cross-species comparison. This work will be supported by our bioinformatics experts.
• Follow-up of selected results by analyzing gene function, e.g. by RNAi
• Advising students with respect to lab work and enriching our training program with your expertise.
More information on GönomiX:
https://lnkd.in/d4f5Qn8a
Full announcement:
https://lnkd.in/diS7e2rJ
Application (only online!):
https://lnkd.in/dfnV2cuv
Student Assistant
Student Assistant (Bioinformatics & AI Research)
We are seeking a motivated and curious Student Assistant to join our interdisciplinary research team at the intersection of bioinformatics, machine learning, and biomedical science.
Required Skills:
Strong background in bioinformatics and omics data analysis (genomics, transcriptomics, etc.)
Experience with machine learning and deep learning techniques, for instance Transfer Learning, Explainable AI, and Federated Learning
Proficiency in programming (Python, R) and data analysis tools
Strong problem-solving skills and a passion for innovation
We Offer:
Hands-on experience in cutting-edge research at the frontier of biology and medicine
Opportunity to work on real-world projects with direct impact
Training and mentorship in advanced computational methods and interdisciplinary research
Support to publish results and present at scientific conferences upon successful project completion
Ideal Candidate:
Currently enrolled in a Bachelor’s, or Master’s program in Bioinformatics, Data Science, Computer Science, Computational Biology, or a related field
Team player with strong communication skills and enthusiasm for collaborative science
Location: Institute for Predictive Deep Learning for Medicine and Healthcare
Hours: Flexible (8–15 hours/week)
Start Date: Immediate
If you’re eager to learn, contribute to meaningful research, and grow in a dynamic, interdisciplinary environment, we’d love to hear from you!
Apply by sending your CV and a short motivation letter to: studium.predlmed
Subject: Student Assistant Application – [Your Name]