Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
or mentally struggling. We work respectfully with people from different backgrounds, experiences and nationalities. To collaborate more efficiently and ensure reproducibility, we implement the principles
-
collaborate with members of different research groups within DTU BRIGHT or beyond and teach and supervise BSc and MSc students. Key selection criteria: Experience in microbiology, metabolomics, systems biology
-
be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
-
be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
-
, academic, and industrial relevance Contribute to and take leadership at different stages of project development Conduct and in time lead research projects with high visibility in the international networks
-
: Conceptualisation and theoretical development of spatiotemporal optimisation of biodiversity dynamics during recovery. Synthesising and modelling and species pools and biodiversity patterns given different
-
to quantify the uncertainty in model outputs using different methods. Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Support training
-
on retrospective Danish data. The research will include testing different levels of model scaling in terms of data amount and diversity, and training will take place both on a local GPU cluster and on the Gefion
-
and conducting laboratory work. Insight into applied mathematics, linear algebra, process-based modeling, and soil health indicators. Experience with Python, applied statistics, and gradient-based
-
analysed. Analytical Modelling and Simulation: Development of constellations in different orbits and under multiple geometries for the evaluation of Key Performance Indicators (KPIs) related to visibility