Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- DAAD
- Nature Careers
- Technical University of Munich
- Leibniz
- Brandenburgische Technische Universität Cottbus
- Deutsches Elektronen-Synchrotron DESY
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Academic Europe
- Constructor University Bremen gGmbH
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- ESO - European Southern Observatory
- FZJ - Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Hochschule Bielefeld – University of Applied Sciences and Arts
- Max Planck Institute for Gravitational Physics (Hanover), Hannover
- Saarland University
- UNIVERSITY OF TECHNOLOGY NUREMBERG
- University of Bremen
- University of Tübingen
- 10 more »
- « less
-
Field
-
thinking and the ability to map interdependencies, feedback loops, and sociotechnical structures Creative problem-solving skills to handle uncertainty and ambiguity in a dynamic environment and to keep track
-
to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data
-
Constructor Technology, invites applications for Fast-track Ph.D. positions in Computer Science. About the Position Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor
-
Your Job: In the Vi(MA)²C project, we are building a lab-on-chip system where structured “microbial arenas” are created and manipulated in real time. Microbes and tailor-made microgels are observed
-
the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
-
settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de
-
institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
-
to further reflect experience. Please follow this attached link for more details https://www.eso.org/public/jobs/conditions/intstaff/salary-structure/ . ESO aims to support members of personnel in maintaining
-
: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
-
(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and