Applied Machine Learning Days 2024
Conference track on Natural Language Processing at the Applied Machine Learning Days 2024
WeiterlesenSchlagwort: Scientific IT Services
Making of inside|out No. 29
“Knowing what’s going on in IT at ETH Zurich”: The 29th newsletter inside|out is online.
Leonhard Med supports human research
The new ETH Technology Platform, dTIP, uses the Leonhard Med Service of ITS SIS.
WeiterlesenMore than just data: Online Workshop Series
The amount of data generated in scientific research projects is steadily increasing. For this reason, Data Management (DM) is nowadays an essential component of every research activity. Moreover, most funding agencies require a Data Management Plan (DMP) for new grant applications.
WeiterlesenDecommissioning of CIFEX
Introduction to openBIS 20.10.0 RC Webinar
We would like to invite you to a webinar where we will introduce the major new features of the latest openBIS release. You will also have the chance to talk and ask questions to our openBIS developers. The webinar will take place on Thursday 12.11.2020 at 14:00-15:30.
WeiterlesenSwiss Research Data Day 2020 with ITS SIS
The 3rd edition of the Swiss Research Data Day (#SRDD2020) will be held online and on site at the Geneva School of Business Administration (HEG/HES-SO) on October 22nd, 2020.
WeiterlesenVideo Recording Leonhard Med Info Event
The Scientific IT Services of ETH Zurich and LOOP have offered an info event for principal investigators and other potential applicants who are preparing research proposals for the current LOOP call
WeiterlesenAwareness in Research Data Management
All universities deal intensively with the topic of IT security and people’s awareness. One of the campaigns running at ETH is the PROTECT YOUR BRAINWORK. campaign. Let’s take a look at the EPFL library in Lausanne and their solution for IT security awareness.
WeiterlesenData security for confidential research data
Leonhard Med is a secure, powerful and versatile data and computing platform for research on confidential data.
Are you sure if all your research data is public or if some data is confidential?
