Netherlands eScience Center: Enabling Technologies
CTO SURFnet and Utrecht University professor honoured for years of dedication
Researchers from the NLeSC project 'SIM-CITY: Decision Support for Urban Social Economic Complexity' recently had several meetings with experts and government officials in Ujjain. See newspaper coverage here.
Leading Dutch technology institutes CTMM (Center for Translational Molecular Medicine) and TI Pharma have joined forces, in a merger that addresses the growing interdependence of medicines and medical technology. The Netherlands eScience Center is involved in CTMM's TraIT project.
Prof. Wilco Hazeleger is appointed as the Netherlands eScience Center (NLeSC) new permanent director. Prof. Hazeleger, currently head of Global and Regional Climate Division at KNMI, will begin his new role in July 2014 with overall responsibility for the direction and operation of the center.
It is with sadness that we announce the resignation of Dr. van Schaik.
The Netherlands eScience Center announces the release of xtas 2.99, the eXtensible Text Analysis Suite. xtas connects to Elasticsearch document indexes and runs linguistic analyses, such as named entity finding, topic modelling and document clustering, in a distributed setup.
The UK Science Minister, the Rt Hon David Willetts announced funding of £100M (€120M) for the Square Kilometre Array (SKA) project, speaking ahead of an event at Jodrell Bank Observatory today. The emblematic observatory hosts the headquarters of the SKA Organisation, which leads the project. STFC also confirmed that it is investing £19M over the next four years in the SKA project.
Our Director of eScience Technology Rob van Nieuwpoort has been invited to speak at the Exascale Radio Astronomy conference in Monterey, USA. The ERA conference provides a dynamic and interactive platform for international experts and enthusiasts from academic and industry backgrounds to introduce, explore, and discuss the scope and challenges of exascale radio astronomy.
MAGMa has now been extended with the capability to predict metabolites of observed molecules and to screen the measured data for their presence. This allows a systematic detection of novel metabolites, not yet reported in chemical databases, and speeds up the discovery of novel biochemical pathways.