University of Cambridge > Talks.cam > Chemical Engineering and Biotechnology Departmental Seminars > Applying Machine Learning for Characterizing Life-Cycle Based Toxicity Impacts

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Applying Machine Learning for Characterizing Life-Cycle Based Toxicity Impacts

Download to your calendar using vCal

If you have a question about this talk, please contact Helene Jones .

Kerstin von Borries of the Technical University of Denmark is a visiting researcher here at Cambridge and she will be discussing her research focused on predictive lifecycle assessment methods and how applying machine learning can assist in characterizing life-cycle based toxicity.

Please join us in our Large Meeting Room, Rm 4.17

There will be remote access to this seminar for University members via Microsoft Teams : https://bitly.ws/XHoL

Sustainable Reaction Engineering (SRE) and ProcessEng

This talk is part of the Chemical Engineering and Biotechnology Departmental Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

St Edmund's College Political Forum SECPF Online via zoom & Kings Hedges Room Zoology Part II Lecture Theatre (first floor)

Other talks

Rothschild Public Lecture: Forty years of causal inference: Report of a great-grandfather Title to be confirmed Title to be confirmed CUSCRS and Renal Medicine Group Presentation 2 The uplift and erosion history of the Gamburtsev Subglacial Mountains and their role in the formation of the East Antarctic Ice Sheet
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity