Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
-
Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
transition studies, sustainability science and complexity theory Demonstrated capability for bridging qualitative and quantitative modelling approaches, as well as modelling at different levels (micro, meso
-
degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics • Main-author publications in renowned subject-relevant
-
Philosophy of law, Legal theory, Ethics, International law, European law, Comparative constitutional and Administrative law Basic experience in academic writing and with research methods Very good computer
-
and procedures for 3D inspection and measurement systems. You will research on innovative computer vision methods and tools using advanced mathematical methods, optimization methods and AI methods and
-
& administration, which means: You build an independent research profile in the areas of cryptocurrencies, distributed systems and game theory. You contribute to research projects and scientific studies in
-
for the highest standards in doctoral training and close supervision to ensure a mastery of social scientific debates and relevant theories and methods. About this position: With the ViDSS Short-term Finishing
-
forklift in AITs Large-scale Robotics Lab. You will broaden your knowledge and skills in the field of motion planning, ROS integration, and automation & control theory. You will train in scientific work and
-
mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make
-
to different situations. You will broaden your knowledge and skills in the field of motion planning, machine learning, computer vision, and automation & control theory. You will train in scientific work and have