• Develop and maintain computational methods, algorithms, and machine learning models.
• Build and manage software tools, pipelines, and web applications to support research workflows.
• Conduct systematic literature reviews and communicate research progress regularly to the group.
• Actively participate in regular group meetings, discussions, and collaborate with team members.
• Present research findings in diverse academic settings, including seminars, conferences, and workshops.
• Create high-quality figures and visualizations.
• Prepare, write, and publish scientific manuscripts arising from your research.
• Contribute to the tutoring of university-level courses.
• Mentor bachelor and master students when appropriate.

Your Profile:

• Master’s degree in Bioinformatics, Biophysics, Computational Biology, Computer Science, Machine Learning, or a related discipline, with an excellent academic record.
• Strong programming skills in Python, with hands-on experience in PyTorch and TensorFlow.
• Solid understanding of molecular biology and machine learning methods.
• Proven experience in data analysis, statistics, and working with biological databases.
• Genuine interest in scientific research, with a curious, well-organized, and self-driven mindset.
• Excellent teamwork and communication skills, with a collaborative and positive attitude.
• Very good command of English, both written and spoken.

What You Can Expect:

• Exposure to cutting-edge research projects and methods in machine learning and protein science.
• A secure workplace at a modern university with state-of-the-art research facilities.
• A constructive and supportive working atmosphere within a friendly, open-minded team.
• Opportunities for personal and professional development aligned with your career goals, including workshops, training programs, and mentoring.
• Paid vacation and flexible work arrangements.
• Support for participation in scientific conferences, networking events, and collaborative projects.
• Opportunity to contribute to high-impact publications and gain visibility in the scientific community.
• Opportunities to mentor students and participate in teaching activities, enhancing leadership experience.