PhD position in Biology, Biotechnology, Bioengineering or related field
The University of Luxembourg is a multilingual, international research University.
A Phd Position is available in the Integrative Cell Signalling group of the Luxembourg Centre for Systems Biomedicine, Luxembourg University, in the framework of the Doctoral Training Unit CriTiCS on Critical Transitions in Complex Systems.
Project title: Single cell omics to characterize disease dynamics
Goal: Characterize patient-based iPS cells during differentiation and maturation by cutting-edge single cell omics methods, to investigate how mutations in Parkinson's disease related genes affect the cellular phenotype
Supervisor: Dr. Alexander Skupin.
Start Date: ideally November-December 2017, flexible from now until September 2018.
Closing date for applications: open until filled.
Funding: full funding available for up to 4 years, with a highly competitive salary.
- Strong background in molecular biology.
- Hold (or being about to obtain) a Master degree in Biology, Biotechnology, Bioengineering or related field.
- Enthusiasm, excellent communication and interpersonal skills.
- Excellent working knowledge of English.
- If not already covered in her/his background, the student will also learn advanced methods of data analysis.
This position is inserted in the framework of the interdisciplinary Doctoral Training Unit CriTiCS which encompasses 11 PhD positions and confronts the topic of critical transitions in complex systems within a range of disciplines including the areas of physics, clinical science, biology and finance.
To apply and for further information: www.critics.uni.lu
Link to apply : http://emea3.mrted.ly/1i4xo
The University of Luxembourg is an equal opportunity employer.
Cellular heterogeneity is an important biological attribute responsible for the pathogenesis and progression of several developmental and non-developmental associated diseases, including neurodegenerative diseases like Parkinson's disease and cancer. The sources of heterogeneity are associated with several hierarchical levels of biochemical process, such as genetics, transcriptomics, proteomics and metabolomics. Importantly, the phenotypic state of a cell is the direct consequence of close system-level stochastic interactions of different levels of these biochemical interactions. Thus, for understanding of the role of cellular stochasticity in the pathogenesis and development of complex diseases, it is imperative to deconvolute and identify different sources of stochasticity existing in the different facets of biochemical processes. This would necessitate development of platforms capable of sensitively teasing out multi-omics features of cellular states in a single quantification platform. Currently, a research focus of the ICS group is the development of multi-omics strategy for single-cell quantification, to address specific discovery questions related to aetiology and progression of breast cancer and neurodegenerative disease such as Parkinsons' disease. Specifically, this project would use micro-fabrication technologies to isolate and quantify the proteomics and transcriptomics level at single-cell resolution. Further, the aim is to use clinical samples such as patient-derived fibroblast biopsies or surrogate systems such as the transformed iPSC cell lines obtained from the the patients to understand the progression and state of the disease and possibly design personalised intervention strategies for alleviating the pathology based on the network-level interaction/perturbation studies at single-cell level. Together with the imaging data, this will allow identifying early warning signals preceding critical transitions with relation to Parkinsons' disease.
This job comes from a partnership with Science Magazine and