Better support for women after surgical or early menopause on its way

·1h ago
Share:PostShare

Improving the physical and mental health of women with surgical or early menopause and guidance for managing menopause after cancer will be the focus of new research led by the University of Melbourne.

T

The University Of Melbourne

Original source

Read full story

university of melbourne portal au

Check live status on DownRightNow

Check status →

Related Stories

Education1h ago

EE Faculty, 09/11/2026

EE Faculty Teams Online (https://teams.microsoft.com/l/meetup-join/19%3ameeting_M2NjNTZmZjYtN2IxMS00NmFmLTk1OGYtODMxNzQxNjU4YTdl%40thread.v2/0?context=%7b%22Tid%22%3a%220bca7ac3-fcb6-4efd-89eb-6de97603cf21%22%2c%22Oid%22%3a%222d9800ba-2c42-48b8-ae17-12e804bfd1ab%22%7d), 02:30 pm Purpose of Meeting: 1. Exit Survey (ABET visit) 2. Graduate curriculum Contact: Yi Hu, huy@uwm.edu, (414) 251-8830. The post EE Faculty, 09/11/2026 appeared first on UWM REPORT .

UUniversity Of Wisconsin-milwaukee
Education1h ago

data-science-year-professional-experience-bsc-g420

The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers. In particular the programme aims to provide students with: Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology. Advanced knowledge and practical skills in the theory and practice of data analytics. The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science. Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts. Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI. Opportunities for the development of practical skills in a commercial context.

QQueen's University Belfast

Headlines and briefs on this site are for information only. Always verify details on the original source or live status page.

Read Disclaimer