【简介】博士后招聘网整理分享“英国剑桥大学MRC分子生物学实验室(LMB)2020年招聘数据科学家职位”，浏览查询更多博士后招聘计划请访问博士后招聘网。

英国剑桥大学MRC分子生物学实验室(LMB)2020年招聘数据科学家职位

Postdoctoral Scientist / Career Development Fellow – Data Scientist

An opportunity is available for a Data Scientist in connectomics to join the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology (LMB) - https://www2.mrc-lmb.cam.ac.uk/group-leaders/a-to-g/albert-cardona/ - to implement and execute pipelines for automated neuronal arbor reconstruction and synapse detection in volume electron microscopy.

The research programme of the Cardona group is to understand how the nervous system operates as an integrated whole. The lab has so far studied how the structure of a specific neural circuit relates to its function, both in health and in disease. Previous work has shown some aspects of how specific circuits work, such as circuits for learning and memory, for processing visual, olfactory, chemical, mechanical or noxius stimulus. But relating all circuits to each other requires understanding how output signals from independent circuit modules are integrated and used as inputs for further, downstream circuits, ultimately leading to circuits that implement the choice of a single, coherent behavioural response in exclusion to all possible others. To investigate how the outputs of one circuit are the inputs to another, while overcoming inter-individual variability, we must map at nanometrescale complete nervous systems.

We are looking for a motivated and skilled individual who will thrive in a highly collaborative and supportive research group. You should have a background on computer science, engineering, math, physics or a similar technical field, with experience in connectomics and a passion for the mapping and analysis of neural wiring diagrams.

The successful candidate will be awarded a 3-year MRC Career Development Fellowship / MRC Postdoctoral Training Scheme, which is a training and development position for a postdoctoral scientist who has recently completed doctoral studies or is moving into a new research discipline.

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