Sort by
Refine Your Search
-
techniques have been demonstrated to enable spin-wave imaging with spatial resolution down to 50 nm with excellent signal to noise ratio. The PhD/postdoc will focus on investigating unexplored spin-wave
-
minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely
-
openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory
-
to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
-
techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
-
data. 2 Postdoc Subject The main goal of this postdoc is to develop open-world 3D scene understanding models through the fusion of LiDAR-based models and VLM. This goal can be achieved by solving
-
Category Intrumentation, metrology and control Contract Postdoc Job title Instrumental development for low-energy critical dimension small angle x-ray scattering H/F Subject This Postdoc will
-
, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
-
robots, avatars, social bots, 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
-
, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third party funding in the relevant fields of data science