Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
-
an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in
-
Computer Science, ranging all the way from abstract mathematics and theoretical physics to high-performance numerical simulation algorithms. As a Senior Scientist in the “Quantum Information and Quantum Many-Body
-
. Here, you supervise your students in courses about software architecture, software design, distributed systems engineering and software engineering. We expect you to sign a doctoral thesis agreement
-
outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
-
evolved? How is morphological diversity distributed among taxa? Why are certain morphologies common and have evolved repeatedly while others are rare? We address these and related questions across a broad
-
, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and shape these technologies
-
resolution down to sub-1 µm with ablation rates up to 500 Hz. Today this platform is at the forefront of elemental bio-imaging, referring to the measurement of endogenous and exogenous metal distributions in
-
the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral
-
balance: 30 hours that can be distributed over the entire week. Inspiring working atmosphere: You are part of an international team with excellent research infrastructure. Good public transport connections