Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
The Data-Driven Mechanics Laboratory is seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure
-
or MATLAB. Strong skills in scientific writing are required, as are solid English communication skills. Ability to work productively in a multidisciplinary, international team, and able and willing to travel
-
seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure. The project focuses on learning the effective behavior
-
with the Artanim Foundation have an open position for a PhD student focused on studying Attention and Curiosity in Virtual Reality. The successful candidate will join a 4-year project starting in the fall of 2024
-
applications in cooperation with organisations. Candidates who demonstrate a track record of completing high quality and innovative research will be privileged. Curiosity and discipline, self-reliance, integrity
-
, on a research project funded by the Swiss National Science Foundation (SNSF), to study working memory in young adults and children. All details can be found here . Requirements Research
-
at Warsaw University of Technology (Poland). Research subject The aim of the PhD project is to elaborate methodologies for thermal conductivity measurements of submicron- and nano-scaled metallic composites
-
from spectroscopic investigations and atomistic simulations”, we are looking for a PhD Student dedicated to experimental and theoretical studies of As and Se incorporation in zeolites. The project is
-
biopharmaceutical development, biological omics studies and non-target screening of contaminants, and lay the foundations for the adoption of IM-HRMS in industry by training 13 doctoral candidates. PhD project
-
software from the first stages of their personal design processes in respectively architecture and sound arts. They will lead comparative studies between on site and modelized experiences focusing