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candidates will be invited to a recruitment event in August 2026 Expected start of positions: November, 2026 Leibniz Institute for Natural Product Research and Infection Biology Adolf-Reichwein-Straße 23
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predators and parasites. We investigate these links by studying how performance in cognitive tests and effectiveness in navigating among resources co-varies with behavioral strategies in these contexts and
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- in a mouse model. In addition, the GLP-1 analog semaglutide will be administered to evaluate its therapeutic effects on metabolic and structural changes. The project will focus on the following areas
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– regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal
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application. Our aim is to develop innovative methods for the cost-effective production of personalised gene therapies using non-viral gene transfer. The research project is geared towards a future spin-off and
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: the prevention of metastatic disease. Metastases are responsible for the majority of cancer-related deaths, and despite major advances in immunotherapy, effective adjuvant strategies capable of eliminating
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, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together
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learning/statistical learning (e.g., regression/ML pipelines, neural networks, model evaluation), and experience using common ML libraries. Ability to work independently and communicate effectively in
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environment in which everyone can fully develop their own talents. Anyone who has been recognised as severely disabled will be given preferential consideration in the event of equal suitability and
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effectively Experience in medical imaging and/or radiotherapy research Strong interest in translational AI with potential impact on patient care Highly Desirable Experience with 3D medical image segmentation