📣 Finde deinen Traumjob als PhD Position - Machine Learning for Annotation and Design of Gene Regulatory Elements in Plants bei Forschungszentrum Jülich

Your Job:

• Drive the development and application of machine learning models for the annotation and design of gene regulatory elements in plants
• Collaborate closely with both internal teams and international partners to ensure seamless data integration and knowledge sharing
• Work on streamlining data processing and analysis pipelinesPresent your findings at renowned international conferences and publish them in top-tier scientific journals

Your Profile:

• A master`s degree in machine learning, computational biology, or a related field
• Solid foundation in statistics and machine learning
• Experience with deep learning models would be a significant advantage
• Experience with RNA-seq data would be a significant advantage
• Effective communication skills, aptitude for teamwork, and a collaborative mindset
• Familiarity with Linux and proficiency in programming (R, Python, Bash)Fluency in English, both written and spoken

Our Offer:

We work on the very latest issues that impact our society and are offering you the opportunity to actively help in shaping change. Here is what Forschungszentrum Jülich can offer you:

• A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
• Outstanding scientific and technical infrastructure
• Targeted services for international employees, e.g. through our International Advisory ServiceFurther development of your personal strengths, e.g., via a comprehensive further training program - a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/judocs