Doktorand i molekylär biovetenskap
Core
PhD research in data-driven life science combining structural proteomics, protein biophysics, and machine learning to model protein dynamics.
Role type
PhD researcher (Postdoc level)
Builds
Computational and experimental models of protein dynamics
Domain
Molecular biology, proteomics, computational biology, machine learning
Deliverable
production ML models | research
Required skills
Molecular biology, biochemistry, bioinformatics, computational biology, machine learning, Python or R programming, statistical modeling, deep learning, analysis of large-scale biological datasets
Preferred skills
Proteomics, mass spectrometry, protein structure analysis, molecular dynamics, experience with other -omics data
Technologies
Python, R, deep learning frameworks, mass spectrometry instruments
Responsibilities
Develop and apply computational and experimental methods to study biological systems; participate in interdisciplinary research projects; engage in national courses and seminars within data-driven life science
Seniority
PhD candidate (entry-level research training)