Your tasks
* Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data.
* Apply machine learning and signal processing approaches to discover modification profiles from raw signal traces.
* Evaluate and improve current modification calling solutions.
* Collaborate closely with experimental researchers to guide experimental design and interpret data.
* Contribute to publications, presentations, and open-source tools related to the project.
Your profile
* PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field
* Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data
* Solid understanding of RNA biology, transcriptomics and epitranscriptomics
* Desirable skills:
* Experience with Nanopore sequencing (RNA, cDNA or DNA)
* Familiarity with machine learning, particularly in biological data contexts
* Skills in signal processing, particularly or nanopore signal data
* Experience working in interdisciplinary teams
Your tasks
* Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data.
* Apply machine learning and signal processing approaches to discover modification profiles from raw signal traces.
* Evaluate and improve current modification calling solutions.
* Collaborate closely with experimental researchers to guide experimental design and interpret data.
* Contribute to publications, presentations, and open-source tools related to the project.
Your tasks
* Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data.
* Apply machine learning and signal processing approaches to discover modification profiles from raw signal traces.
* Evaluate and improve current modification calling solutions.
* Collaborate closely with experimental researchers to guide experimental design and interpret data.
* Contribute to publications, presentations, and open-source tools related to the project.
* Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data.
* Apply machine learning and signal processing approaches to discover modification profiles from raw signal traces.
* Evaluate and improve current modification calling solutions.
* Collaborate closely with experimental researchers to guide experimental design and interpret data.
* Contribute to publications, presentations, and open-source tools related to the project.
Your profile
* PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field
* Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data
* Solid understanding of RNA biology, transcriptomics and epitranscriptomics
* Desirable skills:
* Experience with Nanopore sequencing (RNA, cDNA or DNA)
* Familiarity with machine learning, particularly in biological data contexts
* Skills in signal processing, particularly or nanopore signal data
* Experience working in interdisciplinary teams
* PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field
* Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data
* Solid understanding of RNA biology, transcriptomics and epitranscriptomics
* Desirable skills:
* Experience with Nanopore sequencing (RNA, cDNA or DNA)
* Familiarity with machine learning, particularly in biological data contexts
* Skills in signal processing, particularly or nanopore signal data
* Experience working in interdisciplinary teams
We offer
* Goal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)
* Working with the latest techniques / technical equipment
* Possibility to publish scientifically is offered and supported
* Regular team meetings
* Interdisciplinary cooperation
* (Partial) project management / project responsibility possible if suitable
* Collectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)
* 30 days vacation
* Sustainable travel: job ticket
* Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
* Wide range of health, prevention and sports offers
We offer
* Goal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)
* Working with the latest techniques / technical equipment
* Possibility to publish scientifically is offered and supported
* Regular team meetings
* Interdisciplinary cooperation
* (Partial) project management / project responsibility possible if suitable
* Collectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)
* 30 days vacation
* Sustainable travel: job ticket
* Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
* Wide range of health, prevention and sports offers
* Goal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)
* Working with the latest techniques / technical equipment
* Possibility to publish scientifically is offered and supported
* Regular team meetings
* Interdisciplinary cooperation
* (Partial) project management / project responsibility possible if suitable
* Collectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)
* 30 days vacation
* Sustainable travel: job ticket
* Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
* Wide range of health, prevention and sports offers
Contact & Application
For further information please contact us via e-mail or phone.
Interested?
Applications will be accepted until
.
Klinik für Kardiologie, Angiologie und Pneumologie
Prof. Christoph Dieterich
Im Neuenheimer Feld 669
69129 Heidelberg
Tel
For further information please contact us via e-mail or phone.
Interested?
Applications will be accepted until
.
Klinik für Kardiologie, Angiologie und Pneumologie
Prof. Christoph Dieterich
Im Neuenheimer Feld 669
69129 Heidelberg
Tel