Postdoctoral Researcher for Data Analysis and Machine Learning of Multimodal Biomedical Data
vor 4 Wochen
Scope of duties
We are looking for a postdoc to join the growing team of the machine learning and data analysis group at the Institute for Stroke and Dementia Research (ISD). Our group uses computational analysis and machine learning algorithms to identify patterns and relationships from complex, multimodal, and multiscale datasets of the brain in health and disease, with a primary focus on neurovascular and neurodegenerative phenotypes. Within this context, you will work on predictive and generative methods to extract disease-relevant information from multimodal omics, spatial omics, and imaging datasets. For example, we aim to use MERFISH, histology, and MRI data, to study how gene expression correlates with morhpolgy and what differentiates healthy from diseased tissues by employing supervised, self-supervised and unsupervised machine learning algorithms and novel spatial omics data analysis methods. For this, you will leverage and build up strong collaborations with experimental partners at the ISD and methodological partners at the Computational Health Center in Helmholtz Munich. Beyond focussing on your research projects, you will also be expected to contribute to the development of a pipeline for analysing spatial omics and other biomedical data.
Our requirements
PhD degree in a relevant field (computational biology or neurosciences, computer science, mathematics, or similar) Experience in analysis of complex (multimodal / high dimensional) data Strong interest in neuroscience and applying data analysis and machine learning for researching disease mechanisms or improving diagnostic procedures Previous experience in biomedial data analysis (histology, MRI, patient data, etc) or (spatial) omics data (scRNAseq, visium, MERFISH, etc) preferred Familiar with concepts of machine learning (ML) and deep learning (DL); previous experience in applied ML / DL research is a plus Strong programming skills in Python or R Collaborative and self-motivated
Our offer
We provide a highly collaborative and inspiring research environment.
The lab is located in the brand-new Center for Stroke and Dementia Research building (CSD) with access to cutting-edge technologies in genomics, proteomics, metabolomics, immunology, molecular biology, imaging (from nano- to macroscale), and neuroscience in general.
We are embedded within the vibrant biomedical and data science research landscape in Munich, with strong ties to the Computational Health Center in Helmholtz Munich, and with ample opportunities for local and international collaborations.
We look forward to receiving your application consisting of a cover letter and a CV and at least two references or reference letters. The position is limited to 2-3 years.Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.
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Munich, Bayern, Deutschland LMU Klinikum VollzeitJob SummaryWe are seeking a highly skilled Postdoctoral Researcher to join our team at the Institute for Stroke and Dementia Research (ISD). The successful candidate will work on predictive and generative methods to extract disease-relevant information from multimodal omics, spatial omics, and imaging datasets.Key ResponsibilitiesDevelop and apply machine...
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