Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
-
., Python, MATLAB, or similar languages) is advantageous. Knowledge of mathematical modelling, computational mechanics, or data science is considered an advantage. Interest in cardiovascular physiology
-
: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
-
desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous
-
languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
-
; - Programming knowledge in Python; Minimum requirements: Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar 5. EVALUATION OF APPLICATIONS
-
and simulation using tools such as MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS or equivalent programming in Python, MATLAB or similar languages optimisation, control theory, machine learning
-
: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of energy systems. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
-
knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous knowledge of physiological signal processing. 5
-
in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge