Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links between the microbiome and chronic diseases alongside generalisable
-
would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
-
fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
-
discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
-
carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular
-
decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
-
· Programming skills in Matlab, R, and/or Python · Experience in the organisation of field campaigns Language skills · Fluency in English, both oral and written. Your LIST benefits
-
in a structured doctoral training environment. The need of microbiome research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links
-
from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
-
flight dynamics and mission-based performance analysis. o Programming skills in Python, C++, or equivalent for simulation preprocessing/postprocessing. o (Desirable) Exposure to reduced-order