Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. The project aims at developing a computational methodology that integrates various types of causation to design/build agent-based models capable of establishing reliable causal claims about multi-level social
-
for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a multi-faceted position in an international environment with a pleasant and open working
-
variability in drug responses, even after rigorous pre-market testing, and our research seeks to understand these variations with a focus on real-world clinical settings. The Centre for Pharmacoepidemiology
-
) at the Faculty of Campus Fryslân in collaboration with the interfaculty research centre BirdEyes Centre for Global Ecological Change. Background West Africa serves as a crucial non-breeding destination
-
data mining algorithms that can integrate and combine multi-modal data acquired from a variety of sources (smart watch sensors, spatial maps, building information sources (drawings and digital models
-
of the future. SOURCE will deliver the scientific knowledge, models and design tools to develop and evaluate nourishment strategies in a multi-stakeholder co-creation process. You will join a team of 12 PhD, Post
-
sciences. Your job You will become a member of the Malda external link and Levato external link research groups within the Regenerative Medicine Center Utrecht external link . In particular, you will
-
terrorism, security, artificial intelligence or a governance solution to the housing crisis, contemporary issues are comprehensively addressed at FGGA. In the heart of The Hague, where important decisions
-
. and MSc programmes of Biosystems Engineering at Wageningen University. In a rich multi-disciplinary setting, you will be mainly supervised by Assistant Professor Dr. Md. Abdul Munnaf with close
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant