Page2 of2, top PhD Degrees in Trieste in Italy 2019
A Doctor of Philosophy degree, short Ph.D is an advanced academic degree earned in various fields, signifying major interests and accomplishments in research.
For all those who are interested in studying rich Italian culture and heritage, Trieste is the best place to visit. It has distinctive training institutions that provide quality education at a reasonable cost. Università degli Studi di Trieste is well known for good education system and support for students.
PhD 16-22 (out of 22). Doctorate Programs in Trieste in Italy
SISSA has just launched a new program for faster access to a Ph.D. in condensed matter physics. The best students will be able to attend lectures at SISSA while still attending their last year of the Master course in Physics at the University of Trieste.
The International School for Advanced Studies (SISSA), the International Center for Genetic Engineering Biotechnology (ICGEB), the University of Trieste and the University of Udine offer a new Joint Ph.D. Program in Molecular Biology (JuMBO).
The Ph.D. in Cognitive Neuroscience at SISSA aims at providing students with the fundamental knowledge and skills for conducting cutting-edge research in the field, covering topics as diverse as perception, language, memory, action, and social behavior.
The Ph.D. Course in Structural and Functional Genomics main mission is the training of enthusiastic young scientists focusing their interests in a broad spectrum of biological research disciplines.
The Ph.D. program in Geometry and Mathematical Physics focuses on the study of analytic and geometric aspects of physical phenomena that are of fundamental interest in both pure and applied sciences and covers wide spectrum of topics
The aim of the Ph.D. Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modeling, and in the applications of mathematical and numerical analysis to science and technology.
The aim of the Lectures of the Ph.D. program in Neurobiology is to provide students with a common framework starting from different backgrounds.
The PhD curriculum in Theory and Simulation of Condensed Matter is suited to highly motivated students interested in learning how the microscopic constituents of matters self- assemble to bring about the whole complexity of the states of matter, from molecules to complex solids,
The Ph.D. in Theoretical Particle Physics has always been part of the postgraduate programmes on offer at SISSA. More than a hundred students have obtained a Ph.D. qualification in Theoretical Particle Physics since SISSA started offering the course.
Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The field has recently witnessed a significant and impressive outpouring of experimental and theoretical results,
Understanding the working principles of living organisms and soft matter systems from the basic equations ruling the dynamics of atoms and molecules was considered science fiction until a few years ago, and biophysics was almost unanimously considered a battlefield for phenomenologists.
There has never been a better time to work in Astrophysics, a vibrant and competitive discipline in frontier research. Applicants to the Ph.D. program in Astrophysics will first be assessed on the basis of their CV and reference letters.
Astroparticle Physics represents one of the preeminent interests of SISSA and has been singled out as one of the areas that SISSA will further strengthen in the near future. It is a young and interdisciplinary field,
The general educational aim of the “History of Societies, Institutions, and Thought. From Medieval to Contemporary History” doctorate is uniform for all curricula, even though differing themes and perspectives are explored depending on the specific area of interest.
This Ph.D. Course aims at the advanced training of students in the field of the Earth System Science, through a multidisciplinary approach, where specific skills integrate with modeling and computational tools that allow to effectively tackle complex problems. Special attention is devoted to the interactions between Mathematics, Scientific Computing, Data Science, Fluid Dynamics, and Earth Sciences.