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Number BAP-2026-188 Is the Job related to staff position within a Research Infrastructure? No Offer Description In your role as a computational/AI scientist, you will focus on building advanced antibodies
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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antigenicity (binding assays using ELISAs, SPR and biolayer interferometry to evaluate binding kinetics and affinity of antibodies or designed proteins), 15% Perform structural studies (high-throughput cryo
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into biologically meaningful insights relevant for protein/antibody design in support of VIB’s valorization projects. Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction
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biologics engineering campaigns guided by structural biology and biophysical principles. Translate computational outputs into biologically meaningful insights relevant for protein/antibody design in support
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at Harvard Medical School. The lab uses methods in molecular virology and structural biology to study how viruses interact with cellular receptors and how neutralizing antibodies can block these interactions
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group. The role will involve investigating and determining causativeness of gene mutations for primary lymphoedema, using mainly site-directed mutagenesis, cell culture methodologies, antibody-based
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have access to advanced core technologies in e.g. cell imaging, FACS, cell sorting, confocal microscopy, animal studies, antibody generation, and biosensors. Close collaboration with Odense University
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Scheduled Hours 40 Position Summary Immediate opening for a scientist experienced in antibody development, immunization models and core laboratory operation to join current team. Position will
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antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies , which is part of the national research platform