35 machine-learning "https:" "https:" "https:" "https:" "U.S" PhD scholarships at Technical University of Denmark
Sort by
Refine Your Search
-
45258144) You can read more about DTU Chemistry at https://www.kemi.dtu.dk/english/ and https://www.kemi.dtu.dk/english/-/media/institutter/kemi/omos/annualreports/annualreport2023dtukemi.pdf If you are
-
Loureiro da Costa Lira Gargalo) and Consortium partners (https://cordis.europa.eu/project/id/101227645 ). Our focus is to guide innovation at an early stage by assessing the benefits (society, economic and
-
Villalobos) and Consortium partners (https://cordis.europa.eu/project/id/101227645 ). Our focus is to guide innovation at an early stage by assessing the benefits (society, economic and environmental
-
, statistical mechanics, reaction kinetics and dynamics, and theory/simulation of ultrafast time-resolved experiments. You will be a part of the Physical Chemistry section at DTU Chemistry (https
-
read more about the hiring department at https://www.biosustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
-
paths at DTU here . Further information Further information may be obtained from Prof. Yifeng Zhang (yifz@dtu.dk ) - https://orbit.dtu.dk/en/persons/yifeng-zhang You can read more about DTU Sustain
-
read more about DTU Chemistry at https://www.kemi.dtu.dk/english/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
-
career paths at DTU here . Further information Further information may be obtained from Dr. Mikolaj Owsianiak, email: miow@dtu.dk . You can read more about DTU Sustain at https://sustain.dtu.dk/en . If you
-
(supervised by Assoc. Prof. Ivana Konvalinka) and machine learning researchers (co-supervised by Prof. Lars Kai Hansen), you will be responsible for designing and running interactive multi-person (hyperscanning
-
Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D