Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with other researchers in the TRL Lab
-
-powered data analysis. Publish reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with
-
. The University of Groningen is an international centre of knowledge: It belongs to the best research universities in Europe and is allied with prestigious partner universities and networks worldwide. The Faculty
-
PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
design and synthesize a range of well-defined substrate mimics, inhibitors, and probes to target various ADP-ribosyltransferases and ADP-ribosyl hydrolases, to enable a better understanding of their
-
your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational
-
motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
-
? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
-
the earth system. IPCC defines tipping points as “critical thresholds beyond which a system reorganizes, often abruptly and/or irreversibly”. In this proposal, we explore the socio-economic consequences
-
networks worldwide. You will work across the Faculty of Arts and the Faculty of Spatial Sciences, but you will be officially appointed at the latter. The Faculty of Spatial Sciences of the University
-
new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab