Your tasksDevelop 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 profilePhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related fieldStrong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing dataSolid understanding of RNA biology, transcriptomics and epitranscriptomicsDesirable skills:Experience with Nanopore sequencing (RNA, cDNA or DNA)Familiarity with machine learning, particularly in biological data contextsSkills in signal processing, particularly or nanopore signal dataExperience working in interdisciplinary teamsYour tasksDevelop 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 tasksDevelop 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 profilePhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related fieldStrong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing dataSolid understanding of RNA biology, transcriptomics and epitranscriptomicsDesirable skills:Experience with Nanopore sequencing (RNA, cDNA or DNA)Familiarity with machine learning, particularly in biological data contextsSkills in signal processing, particularly or nanopore signal dataExperience working in interdisciplinary teamsPhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related fieldStrong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing dataSolid understanding of RNA biology, transcriptomics and epitranscriptomicsDesirable skills:Experience with Nanopore sequencing (RNA, cDNA or DNA)Familiarity with machine learning, particularly in biological data contextsSkills in signal processing, particularly or nanopore signal dataExperience working in interdisciplinary teamsWe offerGoal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)Working with the latest techniques / technical equipmentPossibility to publish scientifically is offered and supportedRegular team meetingsInterdisciplinary cooperation(Partial) project management / project responsibility possible if suitableCollectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)30 days vacationSustainable travel: job ticketFamily-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of careWide range of health, prevention and sports offersWe offerGoal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)Working with the latest techniques / technical equipmentPossibility to publish scientifically is offered and supportedRegular team meetingsInterdisciplinary cooperation(Partial) project management / project responsibility possible if suitableCollectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)30 days vacationSustainable travel: job ticketFamily-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of careWide range of health, prevention and sports offersGoal-oriented, individual training and development opportunities (e.g. workshops, seminrars and conferences)Working with the latest techniques / technical equipmentPossibility to publish scientifically is offered and supportedRegular team meetingsInterdisciplinary cooperation(Partial) project management / project responsibility possible if suitableCollectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)30 days vacationSustainable travel: job ticketFamily-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of careWide range of health, prevention and sports offersContact & ApplicationFor further information please contact us via e-mail or phone.Interested?Applications will be accepted until .Klinik für Kardiologie, Angiologie und PneumologieProf. Christoph DieterichIm Neuenheimer Feld 66969129 HeidelbergTel For further information please contact us via e-mail or phone.Interested?Applications will be accepted until .Klinik für Kardiologie, Angiologie und PneumologieProf. Christoph DieterichIm Neuenheimer Feld 66969129 HeidelbergTel