Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
student, 1 postdoc and 1 lab technician. The department hosts multiple research groups in neural circuits, computational neuroscience, sensory physiology, and neurodevelopment. You will work alongside
-
will be analysed and information that can improve ice charts, weather forecasts and climate predictions will be generated. Observations will be based on synthetic aperture radar at multiple frequencies
-
previously acquired knowledge. We will study collaborative learning scenarios, where multiple devices or sensors jointly process and learn from data streams. Such settings introduce additional challenges
-
, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
-
multiple research groups in neural circuits, computational neuroscience, sensory physiology, and neurodevelopment. You will work alongside experienced researchers and have access to high-performance
-
investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species pairs. The student will analyse a unique dataset of chromosome
-
pangenomics of polyploids Project description This PhD project investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species
-
across multiple data modalities Manage HPC resources and job scheduling on NAISS Arrhenius CPU and GPU partitions Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s
-
-performance computing environment and will implement multiple machine learning–driven methods for linking individual-level data within a user-friendly and flexible interface. Develop and build a platform for
-
models of metabolism to guide the engineering of microbial cell factories. Extracting actionable insight from these data and models requires reasoning across multiple layers of biological organization and