Sort by
Refine Your Search
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
variety of building stock are unknown. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g
-
, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than
-
: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together
-
/ Computer Science Electricity Markets or Power Systems in addition to solid programming skills (namely Python, Julia) and excellent command of the English language. We welcome candidates with varied experiences and
-
academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
-
. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
-
Job Description Do you want to grow as a scientist and become a microbiome researcher at the best technical university in Europe? Do you want to hone your scientific skills and use programming
-
following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge