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Py学习  »  机器学习算法

图像分析与机器学习博士

学术航站楼 • 3 月前 • 70 次点击  

方向:质谱成像中的图像分析与机器学习博士职位

位置:乌普萨拉大学,瑞典

截止日期:13 Jan 2025 - 23:59 (Europe/Stockholm)

项目介绍:

Are you keen to devise novel computational approaches that unveil new insights into tissues? Would you like to join a dynamic and supportive team in a stimulating, international environment? If so, this PhD position could be for you!

Join our interdisciplinary team at Uppsala University and revolutionize the way that tissues are imaged and analyzed. This unique PhD position, bridging machine learning, image processing, and analytical chemistry, offers you an exciting opportunity to reveal new insights into biological processes.

Project Overview

  • Develop and apply cutting-edge computational methods to handle the vast and information-rich datasets of Mass Spectrometry Imaging (MSI).
  • Collaborate with experts in Analytical Chemistry to retain critical data and discover novel chemical fingerprints linked to cancer, multiple sclerosis, and more.

Academic Environment

  • Work under the supervision of Prof. Orcun Goksel in the Computer-assisted Applications in Medicine group.
  • Engage with the Image Analysis unit at the Department of Information Technology and the Department of Chemistry – BMC.
  • Benefit from the eSSENCE graduate school in data-intensive sciences and SciLifeLab collaborations.

Research Goals

  • Innovate in large-scale data analysis and deep learning for MSI, leveraging high-dimensional spectral and spatial information.
  • Enhance biological and pathological understandings through advanced computational pipelines.

您是否热衷于设计新颖的计算方法,以揭示对组织的新认识? 您是否希望加入一个充满活力和支持的团队,在一个激励人心的国际化环境中工作? 如果是这样,这个博士职位就是为您准备的!加入我们乌普萨拉大学的跨学科团队,彻底改变组织成像和分析的方式。 这个独特的博士职位将机器学习、图像处理和分析化学融为一体,为您提供一个令人兴奋的机会,揭示生物过程的新见解。 项目概述 开发和应用前沿计算方法,处理信息量巨大的质谱成像(MSI)数据集。 与分析化学专家合作,保留关键数据,发现与癌症、多发性硬化症等相关的新型化学指纹。 学术环境 在计算机辅助实验室 Orcun Goksel 教授的指导下工作。 在计算机辅助医学应用小组的 Orcun Goksel 教授指导下工作。 与信息技术系和 BMC 化学系的图像分析小组合作。 从 eSSENCE 数据密集型科学研究生院和 SciLifeLab 的合作中获益。 研究目标 利用高维光谱和空间信息,在 MSI 的大规模数据分析和深度学习方面进行创新。 通过先进的计算管道增强对生物和病理的理解。

薪资待遇:

  • Full-time paid position
     with a focus on PhD research and education, with a temporary contract during the studies (of typically 4-5 years).
  • Possibility of departmental duties (teaching/admin) of up to 20% time.
  • Start date in Spring 2025 or per agreement.


要求:

  • Master’s in Computer Science, Data Science, Engineering, or a related field.
  • Strong background in machine learning, image analysis, and programming (Python/Matlab).
  • Fluent in English; with a creative, collaborative, solution-oriented, and attention-to-detail mindset.


申请方式:

Further Details

More information and the official description can be found in the job posting at the Uppsala University’s recruitment system:
https://uu.varbi.com/en/what:job/jobID:776540

Application Process

Submit your application through the recruitment system link above by 13 January 2025.
Applications can only be considered via the university recruitment system, so any email applications will be disregarded.


申请地址:https://uu.varbi.com/en/what:job/jobID:776540


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