Informationen zur Anzeige:
Doctoral Position - Computational Neuroimaging
Frankfurt am Main
Aktualität: 10.12.2024
Anzeigeninhalt:
10.12.2024, Universitätsklinikum Frankfurt
Frankfurt am Main
Doctoral Position - Computational Neuroimaging
Über uns:
"Knowledge becomes health" - we are filling this motto with life every day, developing new ideas and improv-ing old-established knowledge. The University Hospital Frankfurt has existed since 1914. Our around 8,500 employees contribute with their skills and knowledge to the 33 specialist clinics, theoretical clinical institutes, and administrative departments. The close connection of health care with research and teaching, as well as a climate of collegiality, internationality, and cross-professional cooperation characterize the university hospital.
Aufgaben:
- We are looking for a Doctoral Researcher in Computational Neuroimaging with focus on imaging genetics/transcriptomics to join the research group of Prof. Dr. Christine Ecker in the Department of Child and Adolescent Psychiatry at the Universitätsmedizin Frankfurt. The successful applicant will be involved in research projects focusing on the integration of multi-modal human magnetic resonance imaging (MRI) data and genetic and/or transcriptomic data in the context of neurodevelopmental conditions.
- Conduct state-of-the-art research into the molecular underpinnings of aggression in mental health conditions and work as part of a DFG-funded study entitled 'Transcriptomic Subtyping of Imaging-derived phenotypes in autism' ( https://gepris-extern.dfg.de/gepris/projekt/551579379 ).
- Develop novel analytical frameworks for integrating Magnetic Resonance Imaging (MRI) data with genetic and/or transcriptomic data to enhance mechanism-based approaches for stratifying mental health conditions.
- Apply techniques to existing and newly acquired large-scale cohorts (clinical and non-clinical) to stratify mental health conditions for personalized medicine approaches.
- Dissemination of research findings in international peer-reviewed scientific journals.
Qualifikationen:
- MSc in Bioinformatics, Computer Science, or Software Engineering
- Interest in big data analytics, and solid programming skills in R, C++, Python, and MATLAB.
- Knowledge in (i) machine learning, (ii) computational neuroimaging techniques and analysis using software packages like FreeSurfer, and/or (iii) expertise in conducting genetic analyses; e.g. Genome-Wise Association Studies (GWAS) and computation of polygenic risk scores (PRS) is desired though not essential .
- Due to legal regulations, valid proof of measles immunity / measles vaccination is required.
Wir bieten:
- Collective agreement: In addition to an attractive salary based on a collective agreement with an annual special payment, you benefit from long-term security through company pension schemes
- Mobility: Free public transport in all Hessen (Free State Ticket Hessen)
- Campus: Our attractive university hospital campus offers a modern cafeteria, various cafes, and opportunities to rest in numerous green spaces. A walk on the riverside of the Main offers relaxation during breaks
- Work-Life-Balance: Part-time employment is possible, we offer childcare in our daycare center (if you have any questions, please contact UKF-Familienservice), child care during holidays
- Health Promotion: Benefit from our attractive health offers. We offer regular online and face-to-face courses on nutrition, relaxation, sports and exercise.
- Professional development: Internal and external training for your professional development
Unser Kontakt:
Universitätsmedizin Frankfurt | Recruiting Team | Theodor-Stern-Kai 7 | 60590 Frankfurt am Main | Bitte reichen Sie Ihre Bewerbung ausschließlich über den Button »Online bewerben« ein. Rückfragen können Sie gerne an bewerbung@unimedizin-ffm.de richten. Bitte beachten Sie, dass keine Unterlagen zurückgeschickt werden. | Folgen Sie uns auf Instagram ( @unimedizin-ffm ); XING , LinkedIn .
Weitere Informationen:
Women are underrepresented in these positions at the University Hospital Frankfurt. Applications from women are therefore particularly welcome. Disabled applicants are preferred if they have the same personal and professional qualifications.
Berufsfeld
Informationstechnologie, TK
IT/TK Softwareentwicklung
Softwareentwicklung
Gesundheits-/Sozialwesen
Forschung & Entwicklung
Bundesland
Standorte
