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continue until the position is filled. Principle Responsibilities: The successful candidate will teach anatomy & physiology or histology courses, introductory biology courses, and offer versatility in
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-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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theory, machine learning interatomic potentials, machine learning Hamiltonians) for the investigation, optimization, and design of sustainable energy materials (especially batteries) Development
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, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
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will have: ● PhD degree in molecular biology, genetics, biochemistry, biomedicine, medicinal and biological chemistry, bioinformatics, machine learning, biophysics, chemistry or similar, with adequate
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artificial intelligence, machine learning, and the life sciences to shape the future of data-driven biology and biomedicine. We are seeking visionary researchers whose work pushes the boundaries of AI-enabled
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, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and
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software systems—robotics, controls, imaging, and data pipelines—into reliable, high-performance research tools. Develop and implement algorithms for machine vision, adaptive control, and real-time learning
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of computational tools including Artificial Intelligence (AI) and Machine Learning (ML) in virtual screening, small molecule design and optimization is preferred. Set up the chemistry strategy for projects and