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Field
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directly industry-partner commissioned projects What you contribute Profound knowledge in Machine/Deep Learning Familiar with various architectures of Neural Networks (including Transformer, MLP, 1D-CNNs
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits, such as grain yield, adaptation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 24 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Agentic AI
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). Knowledge of computer architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a
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of machine learning for engineering applications to start as soon as possible. Be part of change Developing and benchmarking Neural Network architectures (Graph Neural Networks, Transformers, etc
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for data transmission. With up to 2,600 times the bandwidth of conventional radio waves, they are a promising candidate for an energy-efficient high-performance architecture in the 6G network. At Fraunhofer
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environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture
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apps and simulations of established real-world spiking network models on different computing systems and analysis of results Collaborate closely with local (IAS-6) and national (TU Dresden, FAU Erlangen
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 25 days ago
Deadline 31 Mar 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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site or art space, relating to themes such as Archaeology, Architecture, Art, Cultural History, Natural Sciences and Technology and a relation to the overarching theme of the programme next year