Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Technical University Of Denmark
- University of Copenhagen
- Aalborg University
- DTU Electro
- Graduate School of Arts, Aarhus University
- Aalborg Universitet
- Aarhus University
- Technical University of Denmark;
- Copenhagen Business School
- Copenhagen Business School , CBS
- Danmarks Tekniske Universitet
- NKT Photonics
- Roskilde University
- Technical University of Denmark - DTU
- University of East Anglia
- 8 more »
- « less
-
Field
-
degree with an academic level equivalent to a two-year master's degree. Furthermore, strong English communication skills are essential. Applicants should be highly motivated, ambitious, and eager to seek
-
for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
-
for the position go to www.ruc.dk/en/job/ Only applications in English are accepted. Applications must include: 1. Cover letter 2. CV 3. Documentation of education including grades from Master’s programme or
-
-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
-
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
-
2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking
-
/ 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
-
. 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
-
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
-
of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be conducted through online interviews. We offer DTU is a leading technical university globally