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Janine Gote-Schniering
Has grant
Group Leader
Research Interests
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Recent Grants
Grant: Open
IMMUNOCODE - Decoding the Role of Immune Aging in Regenerative Cell State Dysfunction in Pulmonary Fibrosis
Open Date: 2026-01-01
Close Date: 2031-01-01
Grant: Open
Radiomics-Based Risk Stratification and Molecular Insights into Lung Fibrosis Progression
Open Date: 2025-01-01
Close Date: 2027-01-01
Grant: Close
Deciphering the cellular phenotypes and circuits of lung fibrosis progression
Open Date: 2024-08-01
Close Date:
Grant: Close
Deciphering the spatial heterogeneity in pulmonary fibrosis by integrated multiscale spatial radiomic and molecular profiling
Open Date: 2024-05-01
Close Date:
Grant: Open
Towards digital cell state profiling: Deciphering the molecular heterogeneity in systemic sclerosis-related interstitial lung disease by spatially-resolved radiomic and molecular profiling
Open Date: 2024-01-01
Close Date: 2027-01-01
Positions (1)
Janine Gote-Schniering
University of Bern
6 months ago
University of Bern is recruiting two PhD students in the Gote-Schniering Lab for a Swiss National Science Foundation Starting Grant project focused on chronic lung diseases . Position 1: Systems Immunology of Immune Ageing in Lung Fibrosis This project investigates how immune ageing affects lung repair and contributes to pulmonary fibrosis. The work combines single-cell and spatial transcriptomics/proteomics , functional assays, mechanistic perturbation experiments, ex vivo 3D lung tissue culture models, and in vivo mouse models. It sits at the interface of immunology , lung biology , tissue regeneration , and systems medicine . Position 2: Radio-Multiomics for Chronic Lung Diseases This project develops computational approaches that integrate multiomics (sc/snRNA-seq, spatial transcriptomics, highly multiplexed immunofluorescence) with radiological/radiomic imaging and CT-derived features. The role emphasizes bioinformatics , computational biology , machine learning , deep learning , and precision medicine. Eligibility highlights: For the first project, a Master’s degree in Biology, Biomedicine, Immunology, or a related field is required, along with experience in cell culture, molecular biology, and/or immunology. For the second project, a Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Biomedical Engineering, or a related field is required, plus strong programming and data analysis skills (Python/R). For both positions, strong motivation for interdisciplinary biomedical research and excellent English communication skills are expected. Experience with single-cell/spatial omics, microscopy, mouse models, radiomics, or machine learning is an advantage. Funding and terms: The positions are 100% fixed-term PhD roles funded through an SNSF Starting Grant project. No stipend amount is listed. Application window: Deadline is 2026-05-10 . Start date is 2026-06-01 . How to apply: Send a single PDF containing your motivation letter, CV, academic record with grades, BSc and MSc diplomas, and two reference letters to [email protected] .
6 months ago
Articles (10)
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Collaborators (14)
Gang Liu
Senior Lecturer
University of Sydney
Xesus Abalo
KTH Royal Institute of Technology
Bruce Aronow
John J Hutton MD Professor of Computational Biology and Pediatrics
Cincinnati Children’s Research Foundation
Martijn Nawijn
Professor in functional genetics of chronic respiratory disease
University Medical Center Groningen
Georges Doumet HELOU
Junior Professor of Immunology
Sorbonne Université Faculté de Médecine
Peter Wark
Director of Cystic fibrosis and RES2
MONASH UNIVERSITY
Julien Guiot
Associate Professor & Principal Investigator
University of Liege
Purushothama Rao Tata
Duke University
Alexandra Firsova
Stockholm University
Thomas Geiser
Chairman
University of Bern
Clio Ribbens
Head of Rheumatology
University of Liege
Carola Voss
Emmy Noether group leader
Hannover Medical School
Lennart Conemans
University of Maastricht
Malte D Luecken
Principal Investigator
Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit
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