134 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"Prof"-"O.P"-"St" positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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, please see DTU's rules
-
Thermodynamic modelling of phase equilibrium related to CO2 capture and/or storage. Integration of models and algorithms into CO2 capture simulation or storage simulation. Strong programming skills and solid
-
, 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
-
Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
-
programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
-
. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
-
innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience
-
“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
-
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
-
both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. We are seeking motivated candidates with strong programming