Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
-
and field experiments. Experience with using statistical software like R in data analysis. Experience in writing and publishing scientific articles. Our group and research – and what do we offer
-
to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
-
Job Description Are you passionate about acoustic signal processing? We are seeking a highly motivated PhD candidate with a strong background in acoustics, microphone array processing, statistics
-
various areas of theoretical and computational chemistry such as quantum and semi-classical theory of molecules, electronic excited-state dynamics and relaxation, materials and light, statistical mechanics
-
, 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
-
an academic career. PhD students are required to teach. The teaching responsibilities of the Department include undergraduate and graduate teaching in finance and statistics. About the program The three-year
-
information about the research group is available at: https://plen.ku.dk/english/research/crop_sciences/cpps/ . Required qualifications The applicants should hold professional and personal skills and
-
. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between distinct brain regions, whereas effective connectivity
-
details, see the ACE website: http://www.econ.au.dk/ace ACE is funded by the Danish National Research Foundation with a Center of Excellence grant for the period 2025-2031, and includes researchers from