Học Bổng Bốn Phương
Nhiều cơ hội học PhD từ nhóm nghiên cứu Pelkmans Đại Học Zurich
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Nhóm nghiên cứu của giáo sư Lucas Pelkmans, Department of Molecular Life Sciences, University of Zurich, Thuỵ Sĩ, đang tuyển sinh các ứng cử viên cho bậc học tiến sĩ về các chủ đề sau:
1. Quantitative cell biology:
The lab applies quantitative single-cell imaging to study dynamic processes in endocytosis, membrane composition, cell signalling, and, more recently, in the regulation of liquid phase transitions during nonmembrane-bound compartmentalisation. We also investigate the largely unappreciated roles that cellular structures and compartmentalisation may have in signal processing by acting as capacitors and passive noise filters.
2. Single-cell approaches:
We are continuously striving to increase the amount of molecular and phenotypic measurements that we can extract from single cells within their natural microenvironment, be it in cell populations grown in vitro or in tissues. A major goal is to achieve image-based multiplexing of large numbers of transcript and protein measurements in thousands of single cells at very high spatial resolution.
3. Cell-to-cell variability and emerging cell population phenomena:
Since our discovery that cell-to-cell variability in genetically identical human cell populations does not emerge randomly but follows largely predictive rules, we investigate the mechanisms by which this occurs, and how patterns can emerge. We harness the natural variability in single-cell measurements to identify sources of variability in cellular activities, and to uncover the molecular circuits by which these activities are adapted to cellular state and microenvironment.
4. Subcellular organisation of the transcriptome:
Having developed a platform for high-throughput RNA FISH against thousands of genes in thousands of single cells at single-molecule resolution, we have the unique opportunity to study the largely unknown mesoscale subcellular organisation of the transcriptome, which possibly involves mechanisms of non membrane-bound compartmentalisation (see above), to uncover which factors and transcript properties are involved in this process, and how this impacts gene expression.
5. Large-scale genetic perturbations:
An important tool in the lab is the use of high-throughput gene perturbation to study the effects of large sets of perturbations in large numbers of single cells with quantitative multivariate readouts. Such datasets allow the generation of systems-level views on cellular processes. Besides RNA interference and small compounds, we are looking into new ways of high-throughput gene deletion in human cells with single-cell resolution.
6. Network biology:
Large datasets collected by ourselves often form the basis to study biological phenomena from a network perspective, in which the networks can consist of perturbations, of cells, or of phenotypic or molecular measurements. We continuously develop new statistical and computational methods to infer interactions between genes, perturbations, or phenotypes, inspired by our experience in molecular cell biology.
Cách nộp đơn:
Bước 1: Liên hệ trực tiếp giáo sư Lucas Pelkmans tại địa chỉ email sau: email@example.com
Bước 2: Nộp đơn tới một trong hai ngành sau:
Ngành systems biology: hạn chốt ngày 1 tháng Bảy 2018
Ngành molecular life sciences: hạn chốt ngày 1 tháng Bảy và ngày 1 tháng Mười Hai 2018.
Cổng nộp đơn trực tuyến: https://lszgs.glowbase.com/login
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Nguồn hình cover: University of Zürich