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. The successful candidate will contribute to an exciting, newly funded project evaluating chimeric antigen receptor macrophages (CAR-Ms) as a first-in-class immunotherapy for ACC. This work combines cell
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advancing the next generation of spatial single-cell omics technologies for precision medicine. Bringing together leading European universities, technology providers, clinical partners and innovative
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to: Computational (AI, machine learning) approaches to drug discovery, engineering, and development. Small-molecule therapeutics. Peptides and protein therapeutics. Nucleic acid medicine. Cell & gene therapies, and
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: Integrated sensing and communication Cell-free massive MIMO beamforming, and MIMO algorithms Joint optimization of communication and computing resources Preferred qualifications A doctoral degree or an
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interdisciplinary (https://juanguanlab.wixsite.com/biophysics/ ). The team combines cell biology, quantitative imaging, and biomaterials to probe the underlying mechanisms in biophysical systems and explore new bio
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specialization, including the evaluation, treatment, and ongoing management of patients with hematologic malignancies, including those receiving hematopoietic cell transplantation (HCT) and cellular therapies
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under the project “Experimentally evolving budding yeast cell size to test scaling laws in cell biology”, with the funding support from “HFSP_RGEC28/2023”. Scientific Area(s): Cell biology and Evolution
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(knowledge of Spike2 software is an additional asset); Basic knowledge of electrophysiological techniques, cell biology, anatomy, physiology, and physics; Availability and willingness to work flexible hours
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knowledge of research methods and techniques used in the neurophysiology of the nervous and neuromuscular systems, particularly in the fields of anatomy, physiology, cell biology, physics, neuroinformatics
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Manufacturing (SMMG). These highly integrated and interlaced disciplines not only emphasize theoretical framework and experimental validation, but also attend to computational modeling and simulation. The Hub is