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advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target areas are drug
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months ago
Job Code: Tue_92 Job Offer from April 22, 2025 The Max Planck Institute for Intelligent Systems is a world leading research institute in artificial intelligence, machine learning, and robotics
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a collaboration between five Helmholtz Centers (MDC, GFZ, AWI, DESY, HZB), the Berlin Institute for the Foundations of Learning and Data (BIFOLD), and three Berlin universities. To strengthen our team
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs) into bioinformatics workflows
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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis are the focal points of our work. Fraunhofer IAIS is at the center of a strong research
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statistics, bioinformatics, machine learning and AI applications. Experience in a number of these technologies is expected. Collaborations within the Cluster of Excellence ImmunoSensation and with other intra
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dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its
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? You are studying Mechanical Engineering in the field of Aviation or Shipping. Do you have knowledge of design and machine elements? Are you proficient in CAD and maybe even have first experiences in FEA