65 master-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions at Nature Careers
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demonstrators for satellite communication systems Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise the scientific research of PhD/Master students
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(SOC) and cyber defence teams Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise the scientific research of PhD/Master students Dissemination
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, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
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, then applying those models to reprogram cells in disease contexts. Our primary model system is the fibroblast, a phenotypically plastic cell type with roles in cancer, fibrosis, and inflammatory disease
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in Potsdam Workplace within walking distance of Potsdam main train station, or just a short ride on the shuttle bus Start date: Preferably 15th April 2026 Fixed-term: 2 years Salary: The position is
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moss will be harvested with the purpose of sphagnum restoration at other sites or as growing media in horticultural production. The main focus of your position will be chamber measurements and data
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expected for all topics. The candidate has obtained excellent grades in his/her Bachelor and Master educations, demonstrated outstanding problem-solving skills, and good communication skills in both spoken
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skills are necessary for supervising laboratory work, tutoring bachelor-, master-, and doctoral candidates, teaching courses and supervising seminars Desirable skills and qualifications High-throughput
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-political, participatory, and cross-border planning, as well as Master's-level teaching. The candidate will join a research team working on urban conflicts, migration, governance, and spatial transformation
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. Additional requirements: PhD with a strong background in Molecular and Cell Biology. Hands-on in vitro and ex vivo experience in human disease modeling using primary cells, tissue slices or iPSCs. FACS