Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based
-
development and creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools
-
at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
-
campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
-
direction is the generalization to parallel GPU computations. Task 4: Correctness evaluation of quantum communication systems and quantum protocols. This task will include approaches such as statistical model
-
Do you want to be part of exploring how microbes and viruses react to restoration of habitats? Are you passionate about microbial ecology, bioinformatics and linking microbes to climate change? And
-
extracts from a wide range of emerging biomasses (plant, fungal, insect etc.) obtained using a variety of conventional and emerging extraction methods with varying process parameters. Through extensive
-
we are CLINDA is a multidisciplinary center dedicated to bridging clinical practice and data science. It comprises three research groups: (1) Clinical AI, (2) Bioinformatics and Statistics, and (3
-
documented expertise in large-scale long-read metagenome projects within environmental genomics. This includes development of wet-lab protocols, sequencing, associated bioinformatics and usage of HPC SLURM
-
at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development