Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
-
, computational physics, biophysics, physical chemistry, or a related field (b) have proven experience of using software tools for computer simulations (e.g. quantum chemistry calculations, molecular dynamics
-
, physical chemistry, biophysics, or a related field (b) have proven experience of using software tools for computer simulations (e.g. quantum chemistry calculations, molecular dynamics, Monte Carlo
-
mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
-
of industrial processes. The Department of Computational Fluid Dynamics is seeking a PhD Student (f/m/d) to contribute to “Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase
-
journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
-
simulations, and computational workflows across IBG-relevant domains including plant biology, microbial systems, and circular bioprocesses. Join us and contribute your ideas to shape sustainable innovations and
-
4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
-
. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
-
apply a data-driven approach to cross-scale materials discovery and design, in particular, goal-oriented, inverse design procedures based on process-structure-property linkages are of interest