83 evolution "https:" "https:" "https:" "https:" "https:" "University of St" Postdoctoral research jobs in Belgium
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of Medicine & Health Sciences, is looking for a full-time (100%)postdoctoral scholarship holder in the field of preclinical radioligand development for theranostic applications. Position You will conduct
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The Faculty of Sciences and Bioengineering Sciences, Department Biology, Research Group Ecology, Evolution and Genetics is looking for a postdoctoral researcher with a grant. More concretely your
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Science, Software Engineering, Cybersecurity or a related field, have a strong background in software engineering or security, solid programming skills, and experience with modern development workflows. Experience
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Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center
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Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center
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will be responsible for the computation of state-of-the-art models of pulsational pair-instability supernovae making use of a novel stellar evolution code being developed in Ghent University. Research
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centrosome is essential for early embryonic cell divisions, we still do not understand the profound “centrosome reduction” it undergoes during spermatogenesis and how this pathway impacts embryo development
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collaboration with ETH Zurich (Switzerland). Within this project, we are seeking a full-time postdoctoral researcher who will play a key role in the development, optimization, and fundamental understanding
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor