荷兰博士招聘-拉德堡德大学（奈梅亨大学）-计算神经科学

发布时间：2020-11-12

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如有招聘信息发布(博士/博后/访学)可联系

邮箱：cxw@med.tj.cn

微信：shelver888

公众号链接：https://mp.weixin.qq.com/s?__biz=MzU5NTk2OTE2Mw==&mid=2247485826&idx=1&sn=3dba4e7bfe5688586c8bae12624debc9&chksm=fe689c66c91f1570a30d1a1d87a29a84c1d6da4e04ad9720c7e25c7d2b84756c62ff0f164b40&token=374594617&lang=zh_CN#rd

学校：拉德堡德大学（奈梅亨大学）

院系： Biophysics of Neural Computation group

教授：Fleur Zeldenrust 

申请网址： https://www.ru.nl/english/working-at/vacature/online-solliciteren/?tk=uk&recid=1128867

截止日期：31 December，2020

介绍

我们招收：

由Fleur Zeldenrust带领的神经计算生物物理小组现下招收一位博士生，利用神经网络模型对单个神经元特性和神经网络功能之间的关系开展研究。

在模拟实验中，对丧失感觉的小鼠对其进行体感皮层的突触可塑性研究。您还需观察基础网络中的更改是否会影响信息处理的准确性和效率。

皮质网络不是静态的，而是根据经验不断变化的。特别是对强大的干预措施做出响应后，网络会重新组织自身，从而使代表感觉刺激的神经元不再出现，而被邻近区域“接管”。晶须剥夺实验（其中去除或修剪了啮齿动物的胡须）表明，啮齿动物大脑内处理晶须信息的那部分脑部组织（“体觉皮层”）大部分会发生重组，因为通常对拔除或修剪的胡须有反应的皮质被剥夺了感觉。网络连通性的确切变化现在尚未阐明，但是不同的连通性模式可能可以解释相同的实验结果。此外，因为不知道潜在的网络变化，所以尚不清楚这些变化是否会改善信息处理：在新环境下，感官刺激的表现形式是否更准确和/或更有效？在这个项目中，您将使用体觉皮质的生物物理模型模拟晶须剥夺实验。探究何种列内和列之间（代表单个晶须）的连通性变化对实验结果可以进行解答。您将与来自荷兰的Rena Bakhshi和Dafne van Kuppevelt合作 使用体觉皮质的生物物理模型。接下来，您将分析这些连接模式中的哪些显示输入和神经活动之间的相互信息增加，减少或没有变化。

请注意，将适用《欧盟人员流动规则》：博士候选人在紧接招聘日期之前的三年内，不得在荷兰居住或从事其主要活动（工作，学习等）超过12个月。

我们是

您将被任命为Donders神经科学中心神经生理学系的成员，并就读于Donders研究生院。这个充满活力和跨学科的部门研究各种规模和技术的神经回路的组织和功能，从基因和蛋白质到行为，从体外和体内实验到计算建模。这是一个开放的国际环境，来自不同背景的年轻科学家对大脑结构与功能之间的相互作用深感兴趣。您还将加入国际“ SmartNets”，其中包含5所大学的13名博士候选人，大家一起工作了解生物网络中的计算。这意味着您将有机会：

与其他Smartnets博士候选人一起参加几次国际培训活动和研讨会。

与比利时根特大学的Joni Dambre一起度过3个月，使用图拓扑分析和可视化模拟网络，并在虚拟大鼠中实现结果（可通过Neurobraotics平台“人脑计划”获得）。

与来自荷兰电子科学中心的Rena Bakhshi和Dafne van Kuppevelt一起度过3个月，验证开发的网络分析和建模工具以及开发用于比较模型的工具。

在荷兰脑神经科学奥林匹克运动会的年度外展活动中发挥积极作用。

请注意，这将使您有资格获得流动津贴，并可能获得家庭津贴。此外，将报销某些研究，培训和网络费用。

要求

定量领域（计算机科学，工程，物理学，数学等）的（研究）硕士学位。

神经科学方面的专业知识或对其感兴趣。

具有科学编程的经验或对其感兴趣（Python，Matlab或其他）。

热情，能够在多学科环境中工作。

优秀的英语口语沟通能力和书面写作能力。

申请

请将您的申请提交给Fleur Zeldenrust（f.zeldenrust@donders.ru.nl），并点击申请按钮提交https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1128867，不得迟于2020年12月31日，阿姆斯特丹时区。   

您的申请应包括以下附件：动机信，简历。

首次面试将于2021年2月的第一周进行。

Job description

We are looking for

The Biophysics of Neural Computation group led by Fleur Zeldenrust is looking for a PhD candidate to investigate the relation between single neuron properties and neural network function using neural network models.

You will use simulation experiments to investigate synaptic plasticity in the mouse somatosensory cortex upon sensory deprivation. You will also look whether the changes in the underlying network affect the accuracy and efficiency of information processing. 

Cortical networks are not static, but change constantly in response to experience. Particularly in response to strong interventions, networks re-organise themselves so that neurons representing sensory stimuli that are no longer available get 'taken over' by neighbouring areas. Whisker deprivation experiments, in which rodent whiskers are plucked or trimmed, show that the part of the rodent brain that processes information from the whiskers ('the barrel cortex') is extensively reorganised as a result of the sensory deprivation of the parts of the barrel cortex that normally respond to the plucked or trimmed whiskers. The exact changes in network connectivity are now being unravelled, but it is likely that different connectivity patterns could explain the same experimental results. Moreover, because the underlying network changes are not known, it remains unclear whether these changes improve the information processing: are the representations of the sensory stimuli in the new situation more accurate and/or more efficient? In this project, you will simulate the whisker deprivation experiments, using a biophysical model of the barrel cortex. You will investigate what connectivity changes, both within and between columns (representing single whiskers), can explain the experimental findings. You will cooperate with Rena Bakhshi and Dafne van Kuppevelt from the Netherlands eScience Center for model validation techniques. Next, you will analyse which of these connectivity patterns show an increase, decrease or no change in the mutual information between input and neural activity.

Please note that the EU Mobility Rule will be applied: PhD candidates must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention, are not taken into account.

We are

You will be appointed at the Department of Neurophysiology, Donders Centre for Neuroscienceand you will be enrolled in the Donders Graduate School. This vibrant and multidisciplinary department studies the organisation and function of neural circuits across scales and techniques, from genes and proteins to behaviour and from in vitro and in vivo experiments to computational modelling. It is an open and international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. You will also be part of the International "SmartNets" consortium in which 13 PhD candidates from 5 universities work together to understand computation in biological networks. This means that you will have the opportunity to: 

Follow several international training events and workshops together with the other Smartnets PhD candidates.

Spend 3 months with Joni Dambre at Ghent University, Belgium, to use graph topology to analyse and visualize the simulated networks and implement the results in a virtual mouse (available through the Human Brain Project, Neurorobotics Platform).

Spend 3 months with Rena Bakhshi and Dafne van Kuppevelt from the Netherlands eScience Center to validate the developed network analysis and modelling tools and develop tools to compare models.

Play an active role in the organisation of the yearly outreach events of the Dutch Brain Olympiad.

Note that this will entitle you to mobility allowance and possibly family allowance.  Moreover, certain research, training and network costs will be reimbursed.

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