Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Monash University
- Cranfield University
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- The University of Manchester
- Aalborg University
- Aix-Marseille Université
- Cranfield University;
- DIFFER
- ETH Zürich
- Ecole Centrale de Lyon
- ICN2
- Institut Català de Nanociència i Nanotecnologia
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Nature Careers
- Tallinn University of Technology
- Technical University Of Denmark
- Universite Gustave Eiffel
- University of Amsterdam (UvA)
- University of Cambridge
- University of Oxford
- University of Southern Denmark
- University of Twente (UT)
- Uppsala universitet
- 18 more »
- « less
-
Field
-
thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
-
(HPC) systems Background in statistical mechanics, thermodynamics, and molecular modeling To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here
-
regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background
-
Application deadline: All year round How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD opportunity is primarily aimed at self-funded students. Exceptionally strong candidates with a proven
-
thermodynamics and molecular interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and
-
methods (µ-XRF and µ-XRD) Application of geochemical-thermodynamic modelling to interpret the experiments Collaboration with modellers (reactive transport) to evaluate the migration behaviour of 226Ra and
-
impurities (e.g. Ca²⁺, Mg²⁺, Al³⁺, F⁻, Fe³⁺) while minimizing co-precipitation of valuable transition metals (Ni, Co, Mn). The project combines experimental studies, thermodynamic/speciation modeling, and