Doktorand:in - Hochdurchsatz-Charakterisierung komplexer Medie...
Core
PhD researcher developing AI/ML-driven high-throughput workflows to characterize complex media components for microbial protein/enzyme production optimization.
Role type
PhD researcher (Research Software Engineering & Bioanalytical Chemistry)
Builds
Automated micro-cultivation workflows and analytical pipelines for bioprocess development
Domain
Industrial Biotechnology / Bioinformatics / Mass Spectrometry
Deliverable
production ML models
Required skills
Mass spectrometry (LC/GC-MS), Microbial cultivation, Python programming, Machine learning, Lab automation, Data analysis
Preferred skills
Research Software Engineering, GitLab, Batch/Fed-Batch process control
Technologies
Python, GitLab, TECAN Freedom Evo, BioLector XT, Eppendorf bioreactors, GC-MS, LC-MS
Responsibilities
Develop LC/GC-MS methods for media characterization, Program automated workflows for bioprocess development, Cultivate and screen microbial libraries in automated systems, Apply ML/AI for data evaluation and experimental planning, Write scientific publications and project reports, Supervise students in research internships
Seniority
PhD Candidate (Researcher)
