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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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Deutsches Zentrum für Luft - und Raumfahrt (DLR) | Koln, Nordrhein Westfalen | Germany | 27 days ago
4 Apr 2024 Job Information Organisation/Company Deutsches Zentrum für Luft - und Raumfahrt (DLR) Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 7 Aug 2024 - 00:00 (UTC) Type of Contract To be...
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. UKF jobticket UKF Your challenges: develop and optimize high-throughput analysis pipelines integrate complex RNAseq, Whole Exome Sequencing and TCR repertoire high-throughput data apply machine learning
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helpful here – or a Master's degree from the field of machine learning, neural information processing, or electrophysiological signal processing – here very good programming skills and experience with EEG
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 13 days ago
/d) will work on fast data-driven decisions regarding the initiation of plan adaptations within the loop: # Generation and validation of machine learning models for the automated decision
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for Biogeochemistry in Jena offers a project related position open for a Postdoctoral Researcher in the context of a Horizon Europe project coordinated at the MDI: AI4PEX — Artificial Intelligence and Machine Learning
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products & services. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However
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mentality for cutting-edge research in various fields including robotics, machine learning and systems intelligence. An exceptional opportunity to experience research in a highly inspiring international
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/Qualifications Experience in combining geophysical data from aero and satellite observations with in-situ observations is desired. Numerical methods such as inversion or machine learning should be used to gain a