Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI
-
Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
-
, ecohydrology, and/or ecology would be ideal but is not required. Experience in numerical modelling, big data analysis, and plant ecological and physiological processes, · You enjoy both modelling, model
-
@ugent.be . We do not accept late applications. For more information about this vacancy, please contact Prof. Bart Leroy or Dr. Maria del Rocío Pérez Baca (bart.leroy@uzgent.be , +32 9 332 63 44
-
research using big data. He/she will be expected to take a leading role in overseeing research projects and supervising junior research staff. Enquiries about the duties of the post should be sent to Prof
-
methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
-
of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets - and strong motivation and curiosity to enlarge these skills further • Very good
-
university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can
-
. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
-
ecosystems. They will combine their own field observations in the European Alps and the Arctic with a novel microclimatic dataset and a large Europe-wide database comprising re-surveys of historical vegetation