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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
. Project Description The successful candidate will work on the development of a Gaussian Process regression framework on graphs and its integration into: the Numerical Information Field Theory (NIFTy
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based architecture with 2D-connectivity Migration to industrially fabricated devices Your Profile: Master and PhD in physics or a related field In-depth experience with quantum control experiments
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
power to support the ambitious theoretical, modeling, and data-driven objectives of the proposed work. Job requirements Applicants should hold a PhD in biology, physics, engineering, or a related field
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technology. The team consists of four PIs at Universita degli Studi di Firenze, Northwestern University, Universita degli Studi di Parma and Freie Universität Berlin together with partners at Weizmann
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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you bring to the table Doctoral degree in electrical engineering, communications engineering, or a closely related field Strong mathematical background with solid expertise in linear algebra
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27 Feb 2026 Job Information Organisation/Company European XFEL Research Field Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 9 Apr 2026 - 23
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date
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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
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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