Phd-student (F/m/d)
vor 2 Monaten
Ihre Aufgaben
**You will use state-of-the-art techniques including**:
- Enzyme-linked Immunosorbent Assay (ELISA)
- Analyzing peripheral blood mononuclear cells (PBMCs) including human T-cell culture
- α-Synuclein-seeding-aggregation assay (SAA)
Ihre Qualifikationen
- Master in life science (e.g. biochemistry, biology, molecular medicine, neurosciences)
- Experience with biostatistics, human sample handling, protein quantification assays and immunoassays, biochemistry techniques (protein handling, centrifugal techniques)
- Previous experience with mass spectrometry will be appreciated
- High intrinsic motivation
- Good knowledge of German and English
Wir bieten
- Stimulating work environment in the Göttingen Campus
- Integration into the Georg-August University School of Science (GAUSS)
- Training opportunities in all related scientific fields, organized by the graduate school
- Insights from the patient side to the lab bench
- Participation in international meetings and conferences
- a project that is funded by the Michael J. Fox Foundation
- wide range of interesting benefits as an UMG employee (including in-house daycare center, child vacation care, attractive infrastructure; health and sports promoted by excellent company health management)
- Location in a beautiful and historic German university town steeped in tradition, with a campus that includes the University of Göttingen, Max Planck Institutes, German Primate Centre and other local research institutions
Einleitungstext
The lab of Brit Mollenhauer is seeking a motivated PhD-student. Brit Mollenhauer's team has been working for many years on developing biomarkers to enable an earlier diagnosis of Parkinson's disease, support differential diagnosis and assess disease progression. A further focus is the identification of people at risk who are at increased risk to develop a synucleinopathy. Our goal is to understand the initiation and progression of Parkinson's disease and other movement disorders on the basis of quantifiable biomarkers in order to best increase diagnostic certainty, support therapy development, delay disease progression and ideally prevent it from occurrence. For this we use a wide range of techniques from basic biochemistry, quantitative assays to proteomic analysis and big data processing.
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