169 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Leibniz
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of aerosol research with in-depth experience in measurement technology and quality assurance for the Department of Atmospheric Microphysics (AMP). In addition to research activities, the position encompasses
-
physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
-
Qualifications / Experience: A PhD degree in physics, engineering, environmental sciences, or a related discipline, is required Knowledge and hands-on experience with atmospheric lidars or other atmospheric
-
The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
-
qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine
-
the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
-
Policies”, led by Prof. Dr. Jan Steckel who is also Professor at TU Munich’s School of Social Sciences and Technology. The position is embedded in the research project “EVIDENCE – Evidence based research
-
Diabetology (DIAB) invites applications for 1 Postdoc (m/f/d) starting as soon as possible. We are seeking a highly motivated Computational Biologist/Bioinformatician to join our team which focuses
-
interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
-
, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel