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Clinical research associate • langenhagen
PhD student (f / d / m) bioinformatics and imaging
Medizinische Hochschule HannoverHannover, dePhD opportunities in a first class research environment
Hannover Medical School (MHH)Hanover, GermanyResearch Associate with focus on Interdisciplinary Applications of Artificial Intelligence
Leibniz Universität HannoverHannover, DEMedical Writer Promotional Review
Med Communications InternationalHannover, Lower Saxony, GermanyPhD positions in a first class research environment
Medizinische Hochschule Hannover (MHH)Carl-Neuberg Str. 1, Hannover, GermanyEnvironmental protection equipment research and development expert
TechBiz Global GmbHHannover, NI, DEOnline Data Research - German - Remote
TELUS Digital, HannoverVersicherungskaufmann / Bankkaufmann als Analyst (m / w / d) im Bereich Versicherungen
fb research GmbHHannover, GermanyData Engineer / Research Data Manager
Leibniz-GemeinschaftHannoverOvernight Bakery Associate
WegmansHanoverClinical Sales Representative PI (m / w / d)
Boston ScientificHannover, DEIngenieur •in der Medizintechnik als Clinical Engineer (m / w / d)
MED-EL Elektromedizinische Geräte Deutschland GmbHHannover, Niedersachsen, DEClinical Support Specialist
Guided SolutionsNiedersachsenSales Associate
True Religion Brand JeansHanoverPflichtpraktikum Research & Development – Recycling-Labor REF91718M
ContinentalHannover, Lower Saxony, GermanyFounder's Associate
Urbix HubHanover, Lower Saxony, GermanyIntern Market Research & Consumer Insights (m / w / d)
Deichmann SEHannover, DEJunior Research / Technology / Clinician-Scientist Group Leaders (m / f / d)
Helmholtz-Zentrum für Infektionsforschung GmbH (HZI)Braunschweig, HannoverData Engineer / Research Data Manager (m / w / d)
Technische InformationsbibliothekHannover, GermanyÄhnliche Suchanfragen
PhD student (f / d / m) bioinformatics and imaging
Medizinische Hochschule HannoverHannover, deClinic for Pediatric Pneumology, Allergology and Neonatology
PhD student (f / d / m) bioinformatics and imaging
The Hannover Medical School (MHH), with about 10.000 employees the biggest company of Lower Saxony, is a university institution for research and teaching in the human and dental medicine and a university hospital of supra-maximum medical care. Research, teaching, medical care and administration work hand in hand in the integration model at the MHH-campus.
The German Center for Lung Research and Department of Respiratory Medicine and Infectious Diseases, located at MHH, are looking for a new PhD-Student.
Your PhD project combines cutting-edge computational methods with biomedical data to explore cellular and histological patterns in chronic lung diseases. The aim is to develop and apply advanced algorithms for single-cell genomics and whole-slide image analysis, including unsupervised pattern discovery, spatial mapping, and predictive modeling. The project focuses on uncovering disease-associated cell states and tissue-level patterns directly from large-scale, multicenter datasets, linking these patterns to clinical outcomes such as lung function and survival.
Key computational challenges include :
- Designing scalable pipelines for high-dimensional single-cell and imaging data
- Applying machine learning and deep learning techniques to extract meaningful patterns from complex, unannotated data
- Integrating multimodal data (genomics, imaging, clinical) for predictive modeling
- Generating explainable visualizations of discovered patterns and their spatial organization
This interdisciplinary project offers the opportunity to advance computational methods at the interface of medicine and data science, while contributing to predictive and personalized approaches in lung disease.
Your task
Our requirements
We offer
as soon as possible
You have any questions beforehand?
Prof. Dr. Jonas Christian Schupp
Apply now
Reference number 3696
Apply until : 01.03.2026
Apply here
The MHH is certified as family-friendly university and stands for the promotion of women in the professional life.
Applications of women are particularly welcome. Severely disabled applicants with equal qualifications are given preferential consideration.