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-generated T cell targeting module – for precision immunotherapy” with start as soon as possible. The position centers on developing novel AI/ML methods as well as optimising existing ones to design
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. Proficiency with CST Studio Suite, HFSS, and related full-wave EM simulation workflows. Competence in MATLAB or Python for numerical modelling, data analysis, and optimisation. Ability to conduct experimental
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models. Your primary tasks will be to: Development and optimisation of nanoformulations for cancer therapeutics Physicochemical characterization of nanomaterials using FTIR, DLS, TGA, sp-ICPMS, TEM, SEM
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determinants and regulatory motifs. • Preparation of manuscripts based on mechanistic trafficking studies. Zebrafish cancer model • Establishment, optimisation and application of a zebrafish avatar model for
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media Experience with microscopy and image analysis (e.g. ImageJ, Python, MATLAB) Ability to work independently and collaboratively in an international research environment As a formal qualification, you
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programming with e.g. Python, Matlab, Julia. In your application, please give a detailed account of your experience in the above-mentioned areas. We offer DTU is a leading technical university globally
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Experience with volumetric image data Excellent programming skills (e.g., Python, C++, MATLAB) and familiarity with scientific libraries (ITK/SimpleITK, VTK, TensorFlow/PyTorch, etc.) Ability to work
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systems, integrated sensing and communication, and theoretical modeling of 6G systems Solid mathematical background and significant experience in scientific computing programming (MATLAB, Python, C/C
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and execution, including site progress monitoring and resource and energy data; optimising lean and safe construction site operations in current and emerging work environments; or developing small-scale
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biology Functional assays involving sperm motility, acrosome status, sperm–zona interactions, and related fertilisation readouts Iterative optimisation of protein designs based on experimental performance