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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice
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function and differentiation. Through a fully automated high-throughput screening platform, we have identified novel metabolic targets that appear critical for anti-tumor immunity. One PhD project will
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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to avoid sources of bias such as the target trial approach (www.bips-institut.de/en/research/cross-departmental-working-groups/working-group-gepard-target-trials-for-causal-inference-gettcausal.html ) and
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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | about 24 hours ago
shown benefits in leukaemia patients, but due to disease heterogeneity AML-associated target surface molecules are still rather elusive. We hypothesize that changes caused by cell plasticity in leukemic
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determine whether effector proteins from the kiwifruit canker pathogen Pseudomonas syringae pv. actinidiae (Psa) target and modulate EXO70 proteins to enhance host susceptibility. If you are an excellent
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that target diverse biological processes. These include DNA replication, transcription, translation and cell signaling. To exemplify, nucleoside analogues possess an accomplished history within therapeutic
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural