高清欧美性猛交xxxx黑人猛交,99在线精品免费视频九九视,884aa四虎影成人精品一区,大肉大捧一进一出好爽视频百度 ,av色国产色拍

您的位置:中國博士人才網(wǎng) > 博士后招收 > 海外博士后招收 > 英國倫敦大學(xué)學(xué)院2025年招聘博士后職位(統(tǒng)計生態(tài)學(xué))

關(guān)注微信

英國倫敦大學(xué)學(xué)院2025年招聘博士后職位(統(tǒng)計生態(tài)學(xué))

時間:2025-01-24來源:中國博士人才網(wǎng) 作者:佚名

英國倫敦大學(xué)學(xué)院2025年招聘博士后職位(統(tǒng)計生態(tài)學(xué))

倫敦大學(xué)學(xué)院(University College London,簡稱:UCL),位于英國倫敦,是一所公立研究型大學(xué),也是第一所在倫敦成立的大學(xué)。學(xué)校是羅素大學(xué)集團(tuán)和歐洲研究型大學(xué)聯(lián)盟的成員,被譽為金三角名校之一。

Research Fellow in Statistical Ecology

Department of Genetics, Evolution & Environment, University College London

Application Deadline Deadline:

29 January 2025Contact Name Contact:

Daniel Maynard

This is an exciting opportunity to join an interdisciplinary team of researchers at UCL to develop new statistical approaches to forecast how forest ecosystems will respond to environmental change. This project is the first phase of a 5-year ERC Starting Grant, supervised by Dr Maynard, which aims to develop a novel framework to forecast survival and responsiveness of communities under disturbance. The research fellow will primarily be based at the People and Nature Lab at the new UCL East campus—a collaborative group of researchers addressing the intersection between biodiversity, technology, computer science, the built environment, and society to create new ways for societies and nature to sustainably coexist.

Your role will be to develop and apply novel computational and statistical tools to predict the stability of ecological communities. This will involve constructing, optimising, and testing Bayesian hierarchical models and machine learning models, with the aim of predicting community composition and coexistence using environmental-, functional-, and phylogenetic information. Applications and model-testing will focus on existing datasets, primarily of forest ecosystems, but will also include plant, aquatic, and microbial communities as needed.

The successful candidate must hold or be submitting a PhD in a relevant area, including an ecological or environmental discipline, statistics, computer science, data science, or related field. You must have strong computational skills and significant experience working on complex statistical models, ideally using Bayesian or machine-learning approaches. Strong programming knowledge in at least one language are required, ideally in R, Python, or Julia. Experience using Git, the Stan language, parallel and distributed computing, and/or shell scripting are strongly encouraged but not required. Some knowledge of plant ecology, forest ecology, and/or theoretical ecology is useful but likewise not required. Experience with the peer-review process is mandatory, as is the ability to prepare initial and final drafts of manuscripts for publication. Excellent written and verbal communication skills are essential, including the ability to keep meticulous records and well-annotated computer code.

為防止簡歷投遞丟失請抄送一份至:boshijob@126.com(郵件標(biāo)題格式:應(yīng)聘職位名稱+姓名+學(xué)歷+專業(yè)+中國博士人才網(wǎng))

中國-博士人才網(wǎng)發(fā)布

聲明提示:凡本網(wǎng)注明“來源:XXX”的文/圖等稿件,本網(wǎng)轉(zhuǎn)載出于傳遞更多信息及方便產(chǎn)業(yè)探討之目的,并不意味著本站贊同其觀點或證實其內(nèi)容的真實性,文章內(nèi)容僅供參考。

相關(guān)文章