PhD - Computational Neuroimaging

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.

PhD - Computational Neuroimaging(We are targeting applicants of all genders)Part time (70%) limited to 3 years with possibility to extension Announcement number : 680-2024We are looking for a doctoral Researcher in Computational Neuroimaging with focus on Neuroimaging Genetics and Transcriptomics to join the research group of Prof.

Dr. Christine Ecker in the Department of Child and Adolescent Psychiatry at the Goethe University Hospital in Frankfurt am Main.

The successful applicant will be involved in the transregional collaborative research grant (TRR 379) Neurobiology of Aggression - a Transdiagnostic Approach in Mental Health Disorders , funded by the DFG.

For an insight into the University Hospital Frankfurt, click here.Your roleConduct state-of-the-art research into the molecular underpinnings of aggression in mental health conditions and work as part of the DFG-funded TRR 379 on Aggression in Mental Health Conditions ( https : / / www.

trr379.de ) combining basic research with clinical applications.Develop database and novel analytical frameworks for integrating Magnetic Resonance Imaging (MRI) data with genetic and transcriptomic data to stratify mental health conditions.

Apply techniques to existing and newly acquired large-scale cohorts (clinical and non-clinical) to develop personalized medicine approaches.

Who you areMaster's degree in Bioinformatics, Computer Science, Biomedical Engineering, or Computational NeuroscienceStrong programming skills in R, C++, Python, or MATLABInterest in big data analyticsKnowledge in machine learning, MRI data analysis, or expertise in conducting genetic analyses is of advantageDue to legal regulations, valid proof of measles immunity / measles vaccination is requiredWhat we offerCollective 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 schemesMobility : 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 breaksWork-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 holidaysHealth 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 developmentAny questions?

Many answers can be found in our FAQs for new employees. If you have any further questions, please do not hesitate to contact us.

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.Join our teamUse the time until September 17, 2024 to apply.

Please submit your online application including a possible starting date and your salary expectations. For further information regarding the position and project, please contact Prof.

Christine Ecker via mail : [email protected] . Apply nowUniversitätsmedizin 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 [email protected] richten. Bitte beachten Sie, dass keine Unterlagen zurückgeschickt werden.

Folgen Sie uns auf Instagram ( @ukf karriere ); XING , LinkedIn .