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combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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vitro and in vivo models, based on coculture with T-lymphocytes or stromal cells, mimic some aspects of the natural microenvironment but have limitations. This research aims to develop and optimize models
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(Sainz). The selected candidate will work under the guidance of Assistant Prof. Cihan Okay. We welcome applicants whose research focuses on quantum computing and intersecting areas of combinatorial
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the natural microenvironment but have limitations. This research aims to develop and optimize models replicating the lymphoid microenvironment to study new therapeutic strategies, including drugs targeting CLL
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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. Operations research, Transportation, Mathematics, Applied mathematics or Computer science. Solid knowledge of data science and combinatorial optimization (mathematical modelling, algorithms, heuristics