Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
; experience in disciplines including biochemistry, genetics, computer science, or data science, will be considered as assets. Moreover, candidates should be highly motivated, flexible, and integrative
-
Description In the Department of Mathemathics and Natural Sciences in the Group Technical Physics I at the Technische Universität Ilmenau (Germany) is a vacancy for a PhD Position (f/m/d) in Growth
-
and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
-
on transforming nitrogen pollutants from water and air into valuable ammonia. This project offers the chance to be at the forefront of sustainable chemistry by developing cost-effective and efficient catalysts
-
on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
-
positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
-
Description In the Department of Mathemathics and Natural Sciences in the Group Technical Physics I at the Technische Universität Ilmenau (Germany) is a vacancy for a PhD Position (f/m/d) in Optical
-
of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
-
environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill Development: Our extensive qualification concept goes beyond
-
or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property