Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Politecnico di Milano
- Bocconi University
- CNR
- Dip. Ingegneria meccanica e aerospaziale-Sapienza Università di Roma
- Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova
- Politecnico di Torino
- Sapienza Università di Roma
- University of Foggia
- Università Campus Bio-Medico di Roma
- Università degli Studi di Napoli “Federico II"
- Università degli studi di Bari
- 2 more »
- « less
-
Field
-
synthesis, and optimization of small-molecule inhibitors targeting the different NADPH oxidase (NOX) isoforms. Activities include hit-to-lead optimization through structure–activity relationship (SAR) studies
-
characterized from a structural, rheological, thermal, and mechanical perspective, with the aim of identifying optimal processing conditions and the related structure-process-property relationships
-
project OPTiMiSE – Optimal Transport and Metric Structures for Evolution Problems, which aims to develop new mathematical methods for the study of evolution problems through optimal transport theory, metric
-
for aerospace structures Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility of fellows
-
well as to investigate protein–ligand interaction properties; performing protein crystallization and crystal optimization using the robotic facility available in the Structural Biology Laboratory; providing samples and
-
) will also be developed to describe the thermomechanical behavior of liquid hydrogen and fluid–structure interactions, enabling fast simulations and design optimization Where to apply E-mail dima
-
-based complex fluids dissolved in natural bio-based solvents, optimizing processing parameters for electrospinning. Starting from the formulated fluids, fibrous structures will be produced by
-
between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that incorporate the structure of the physical laws governing
-
-ARPES studies of the electronic and spin-resolved electronic structure of quantum materials and engineered layered structures, exploiting a photon-energy range complementary to laser ARPES and other
-
surgery, with a focus on technological innovation and funded projects. Research in cardiac surgery aims to: 1. reduce the invasiveness of procedures, improve prosthetic devices, and optimize long-term