The Institute of Pathology is offering a new position for a:
Postdoc (m/w/d) for machine learning in computational digital pathology
The full time position (38,5 hrs/week) is initially for 3 years. A prolongation is desired. Home office is possible according to our service agreement.
We are a young team of biologists, medical doctors (nephrologists and pathologists), AI-developers, computational biologists and data scientists working on basic and translational research with particular focus on kidney diseases. Both large clinical and preclinical datasets are already available. We are strongly team-oriented and an internationally well-established and connected teams. We offer a broad spectrum of well-established and available methods and available SOTA infrastructure ranging from wet-lab till directly available IT and computation resources. We are also constantly developing novel methods and are open to new approaches.
We are looking for:
an independent researcher with a strong focus and interest in machine learning and statistical analysis of large-scale pathomics data. Our team has developed a deep learning pipeline for characterization of anatomical features in histology slides. This allow us to characterize the already available large cohorts of pathology slides from patients with kidney diseases as a major use case. The candidate will focus on development of novel methods and approaches to analyze, visualize and interpret large-scale pathomics data and relate these to clinical information of patients This highly dynamic and exciting project is embedded within an environment of state-of-the-art AI development, technological infrastructure, direct clinical and translational medical research and computational biostatistics with strong international network. The project is interdisciplinary in close cooperation between the groups of Prof. Boor (clinical and digital pathology & AI development) and Prof. Costa (computational genomics) and embedded within the ERC consolidator grant (AIM.imaging.CKD) and the Clinical Research Unit 5011 (InteraKD - Integrating emerging methods to advance translational kidney research) but also the large national consortia focusing on COVID-19 autopsies (www.DeRegCOVID.ukaachen.de and www.netzwerk-universitaetsmedizin.de/projekte/defeat-pandemics#c508).
The ideal candidate will require:
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Ph.D. in data science, bioinformatics, biostatistics, biophysics, mathematics, or related field
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A solid track of academic record in machine learning and/or image analysis
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Demonstrated experience in data analysis with Python, R and high-performance computing
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A strong background in and passion for data integration, data and knowledge management, biological interpretation
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High level of methodological and scientific independence:
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Enthusiasm for multidisciplinary research
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Excellent proficiency in written and oral communication skills in English (Level C2)
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Strong interest in Teamwork
The Institute of Pathology is offering a new position for a:
Scientist (m/w/d) for imaging of kidney diseases
The full time position (38,5 hrs/week) is initially for 3 years although our longer term aim would be to work with the successful applicant to extend this. Home working can be incorporated into the working week according to our service agreement.
We are an interdisciplinary team of biologists, clinicians (nephrologists and pathologists) and computer scientists working on basic and translational research in kidney diseases and its cardiovascular consequences. We are strongly team-orientated, yet internationally well networked. A broad spectrum of research methods are well-established across our laboratories including: an extensive range of transgenic mice and disease models, and also histology, immunohistochemistry, immunofluorescence, electron microscopy, cell culture, FACS & cell-sorting, molecular biology, in vivo imaging including TPLSM, in vivo measurements of renal function. The non-invasive imaging will be performed in close collaboration with the Institute of Experimental Molecular Imaging, where all necessary equipment is available (e.g., microCT, FMT-CT, MRI, US). We actively seek to develop and embed novel methods and are open to new approaches.
Research focus:
We are searching for an independent researcher with a strong research focus in the analysis and modeling of progressive kidney disease, microscopy and imaging techniques. The planned projects aim to better define and understand the mechanisms governing the transition of acute to chronic kidney disease. We will encourage and support the successful applicant to develop and deliver their own additional research topics. The projects are embedded within the interdisciplinary programs AIM.imaging.CKD (AI-augmented, Multiscale Image-based Diagnostics of Chronic Kidney Disease; ERC consolidator grant) and the Clinical Research Unit 5011 (InteraKD - Integrating emerging methods to advance translational kidney research).
Requirements of the applicant:
You must hold a PhD or MD with an excellent academic record in the field of kidney or imaging research. A high level of methodological and scientific independence, teamwork ability, high enthusiasm for translational research, excellent English knowledge and commitment will be required. Practical experience in conducting animal experiments and advanced microscopy techniques including image analyses are necessary. Leadership skills, particularly in student supervision, and the ability to work on parallel projects are also required.
The salary is based on the German public service salary scale (TV-L E13).
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