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Field
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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experience : PhD in materials science, polymer engineering, mechanical engineering, or a related field Have experience in materials processing and mechanical characterization. Required technical and
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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responsible for collecting and analyzing data, and for producing project reports and peer-reviewed journal publications. Qualifications: This position requires a PhD qualification in Mechanical Engineering
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efforts aimed at commercializing these technologies and moving them toward clinical application. Applicants should have a PhD in biomedical engineering, optics, physics, electrical engineering, mechanical
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proteins, nucleosomes and transcriptional regulators control gene expression and three-dimensional genome organisation. The project will combine genome engineering and acute protein perturbation with
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of disciplines. We are currently one of the top UK HCI groups; publishing a number of papers at top venues (e.g. ACM CHI). Dr Neate currently leads a team of two researchers and six PhD students, with a strong
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techniques: identifying the factors that establish early RT at target genes, determining how they promote translocation biogenesis, and testing them in preclinical models. The work combines CRISPR engineering
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience