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PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment (no previous postdoctoral experience required). ✅Required Skills Familiarity
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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UniGEM). Within UniGEM, this internship aims to engineer the features input into the neural network and to compute their values using real malaria parasite data. These values will be used in a subsequent
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biological systems such as ecological and neural dynamics. The project is particularly suited to a student with a strong background in physics, applied mathematics or theoretical/computational biology who is
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molecular biology, conventional and spectral flow cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal
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reporting deliverable Candidate profile Required qualifications PhD in bioengineering, cell biology, biophysics, immunology, virology, or a closely related field Demonstrated hands-on experience in mammalian
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must have a PhD in computer science, machine learning, or computational biology The position is initially for 12 months with the possibility of extension. Application : send CV, motivation letter, and
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pre-clinical settings. The successful candidate is expected to have: Project leadership, drive and dynamism. A PhD level, preferably without former postdoctoral experience or other with substantial
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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for antibodies against HA protein) in place in the laboratory. Profile We are looking for highly motivated individuals considering pursuing their M2 with a PhD in vaccine immunology. The candidate is expected