Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
qualified candidate to develop research and methodological tools to assess and to improve the welfare of farmed fish, contributing to the sustainability of aquaculture practices in the EU. We offer a 3-year
-
-centered design—in close collaboration with national authorities and food producers. Responsibilities and qualifications Your overall focus will be to develop and validate AI-powered tools that support
-
genetics and archeology. Project description Your task will be to develop new computational methods to study archaic introgression and applying them to the largest dataset of present-day human genomes
-
in their production environment. This PhD project will leverage the extensive phenotypic data generated by CowFIT, in combination with other phenotypes from the Danish Cattle Database, to develop both
-
protection products based on double-stranded RNA and peptides) funded by the Novo Nordisk Foundation. The project aims to develop tools and methods to support evidence-based risk assessment frameworks for bio
-
of results Completing the required PhD school courses and conducting an external research stay Teaching and supervision of MSc students Desired qualifications and skills: Curiosity and high motivation
-
data, which often only provides snapshots in time, neglect coastal waters, and overlook certain species. You will work on integrating diverse data sources to overcome these limitations and develop a more
-
administrative, educational, and legal domains. The successful candidate will become part of the Centre for Machine Learning . The centre is part of the Data Science & Statistics section at the Department
-
conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
-
limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided