Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
-
extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
-
Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 7 days ago
from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different levels of complexity present in real materials. The PhD student will focus on the molecular
-
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 This PhD proposal is part of
-
Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 2 days ago
, scikit-image, SimpleITK, etc.), will be given special consideration. Knowledge of machine learning and artificial intelligence techniques is a plus. Previous experience in code parallelization, the use
-
24 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr
-
position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
-
exhibit satisfactory performance, the downscaling approaches explored so far still lack accuracy and robustness. The main objective of the PhD subject is to increase the accuracy of the overall (upscaling
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
-
sound. By exploring reconfigurable coherent perfect absorbers and tunable exceptional points, it will open new routes for real-time acoustic wavefront control. In parallel, the outcomes of this PhD will