Post-Doc position in Bioinformatics and Neuroimaging (m/f/d)
The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe. 48 specialized hospitals, departments and institutions harbouring excellent research and education provide patient care at the highest medical level with around 11.000 employees.
The Institute for Stroke and Dementia Research (ISD) is looking for a
Post-Doc position in Bioinformatics and Neuroimaging (m/f/d)
Scope of duties:
The ISD is a translational research institute that bridges the traditional barriers between academic medicine, clinical research and basic science (www.isd-research.de). A major focus of the multidisciplinary clinical research unit at the ISD is to investigate the mechanisms that underlie the development and progression of cerebrovascular and Alzheimer’s disease by integrating findings from in vivo biomarkers, neuroimaging, clinical and genetic data.
Description:
The interdisciplinary position is intended to bridge the gap between bioinformatics and clinical neuroimaging research. A key element will be the development of cutting-edge neuroimaging processing pipelines and machine-learning tools for modeling and predicting the progression of cerebrovascular and neurodegenerative brain changes (e.g. Baykara et al., Ann Neurol, 2016; Franzmeier et al., Sci Adv, 2020). Methods development and data analyses will focus mostly on available large-scale neuroimaging cohorts on stroke (https://www.dzne.de/en/research/studies/clinical-studies/demdas/) and small-vessel disease, (https://www.svds-at-target.eu/the-project/about-the-project/), as well as ongoing in-house studies. A second major focus will be the continuous buildup and development of the existing cutting-edge bioinformatical infrastructure at the ISD, including the maintenance and update of the high-performance computing cluster.
Our requirements:
Your profile:
The ideal candidate should hold a PhD degree in bioinformatics, biomedical imaging or related fields and have extensive experience in programming (e.g. R, Python, Matlab), statistics and analyses of human neuroimaging data, with a particular focus on structural/diffusion MRI and PET imaging. Expert knowledge in Linux (Debian/Ubuntu), macOS, Docker/Singularity, server administration and SLURM (https://slurm.schedmd.com) is obligatory. Neuroanatomical or medical knowledge is a plus. Suitable candidates should be highly motivated, have a high-degree of technical expertise, problem solving skills and scientific independence, with an interest in bioinformatics and methods development in a clinically oriented research setting.
Our offer:
We offer:
The position will be in the neuroimaging unit of the ISD, in an international, dynamic and “open-door” atmosphere, with access to state-of the art neuroimaging facilities and technologies including dedicated in-house research MRI scanners and multi-national datasets on cerebrovascular disease and Alzheimer’s disease. We offer unrestricted access to rich large-scale neuroimaging datasets and cutting-edge research tools including an in-house high-performance computing cluster. The applicant will work in an interdisciplinary group of experienced PhD students, Postdocs, and technicians. Salary will be according to TV-L. The position is limited to two years, extension is desired. The Ludwig-Maximilians University is an equal opportunity employer. Individuals of all nationalities, genders, ages, and those with disabilities are encouraged to apply. We give priority to applicants with a disability and essentially equal qualifications.
Interested candidates should submit their complete application documents (including CV, publication list, motivation letter, proof of completed PhD, names/contact information for three references and transcripts within a single PDF file) via email to isd@med.uni-muenchen.de
Contact for questions
E-Mail: isd@med.uni-muenchen.de
https://www.lmu-klinikum.de/isd
Address:
LMU Klinikum
Institute for Stroke and Dementia Research (ISD)
Feodor-Lynen-Str. 17
81377 München
Reference-number.: 2021-K-0174
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