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Bioinformatics Scientist - PhD candidate(m/w/x)
Processing single-cell sequencing and spatial transcriptomics data for human and murine omics datasets at a university hospital. Proven experience with R and Python, plus basic immunology knowledge required. Integration into LIFE@FAU graduate school, with a dedicated thesis mentoring committee.
Requirements
- Master of Science in relevant field
- Basic knowledge of immunology
- Strong background in bioinformatics
- Proven experience with R and Python
- Independent and analytical work ability
Tasks
- Analyze and interpret human and murine omics datasets independently
- Process single-cell sequencing and spatial transcriptomics data
- Perform basic analysis of bulk RNA-seq data
- Interpret and integrate proteomics and metabolomics datasets
- Develop bioinformatic workflows for multimodal data integration
- Collaborate with experimental researchers to generate biological insights
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Mentorship & Coaching
- Integration into LIFE@FAU graduate school
- Thesis mentoring committee
Learning & Development
- Soft and hard skills training
Team Events
- Team building and exchange opportunities
Career Advancement
- Career development support
Purpose-Driven Work
- Publication-oriented research projects
Modern Equipment
- Access to state-of-the-art technologies
Other Benefits
- International conference support
Startup Environment
- Network of internationally renowned collaborators
Not a perfect match?
- Uniklinikum ErlangenPart-timeOn-siteNot specifiedErlangen
- Universitätsklinikum Erlangen
PhD Position in Medical Molecular Biology / Immuno-Oncology(m/w/x)
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Doktorand(m/w/x)
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PhD student(m/w/x)
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Bioinformatics Scientist - PhD candidate(m/w/x)
Processing single-cell sequencing and spatial transcriptomics data for human and murine omics datasets at a university hospital. Proven experience with R and Python, plus basic immunology knowledge required. Integration into LIFE@FAU graduate school, with a dedicated thesis mentoring committee.
Requirements
- Master of Science in relevant field
- Basic knowledge of immunology
- Strong background in bioinformatics
- Proven experience with R and Python
- Independent and analytical work ability
Tasks
- Analyze and interpret human and murine omics datasets independently
- Process single-cell sequencing and spatial transcriptomics data
- Perform basic analysis of bulk RNA-seq data
- Interpret and integrate proteomics and metabolomics datasets
- Develop bioinformatic workflows for multimodal data integration
- Collaborate with experimental researchers to generate biological insights
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Mentorship & Coaching
- Integration into LIFE@FAU graduate school
- Thesis mentoring committee
Learning & Development
- Soft and hard skills training
Team Events
- Team building and exchange opportunities
Career Advancement
- Career development support
Purpose-Driven Work
- Publication-oriented research projects
Modern Equipment
- Access to state-of-the-art technologies
Other Benefits
- International conference support
Startup Environment
- Network of internationally renowned collaborators
About the Company
Uniklinikum Erlangen
Industry
Healthcare
Description
Das Medizinische Zentrum für Informations- und Kommunikationstechnik (MIK) betreut die IT-Anforderungen und den Betrieb der zentralen IT-Infrastruktur des Uniklinikums.
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