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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists of systems biology
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supervisors for reference (please do not attach generic reference letters, but contact details instead). Where to apply Website https://jobrxiv.org/job/the-international-institute-of-molecular-mechanisms-277
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, and quality control, with biochemistry ad molecular biology techniques, and with human cell culture and transfections. Knowledge of hiPSCs and their use in neurological disease modelling is essential
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, ranging from antibacterial to anti-cancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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been established. This position will focus on the further development of various, machine learning and deep learning models to study molecular mechanisms and cellular phenotypes caused by the etiology
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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skills are required for the job: - Computational modeling of molecular crystals. - Computational and theoretical chemistry. - Crystal structure prediction. - Familiarity with the Linux operating system
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, an outstanding model of RNP condensates, we recently demonstrated the functional compartmentalization of germ granules, translational repression and activation taking place in two distinct phases. The project aims
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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