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validating a method to estimate genetic variance components in populations under selection. Use the newly developed method to estimate the genetic variance components in a pig and chicken dataset. Investigate
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skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
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ensuring privacy? Do you enjoy working in a team of young and motivated researchers? If so, we have the perfect opportunity for you! Join our team! Cryptography today is about much more than just securing
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materials? Do you thrive in a highly innovative, creative and multicultural environment, and want to lead the way towards a sustainable future? If all these sounds fascinating, then this PhD position may be
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enthusiastic early‑career researcher eager to develop quantitative, spatially explicit models that support climate‑resilient urban planning? Do you want to work at the intersection of Industrial Ecology, GIS
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continuous and discrete valued concepts (e.g., symbols in neuro-symbolic methods), correlations between concepts, and when we do not have (all) labels for the concepts, but we only have a weak supervision
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, industry partners and others. The aim is to strengthen their capacity to put responsible research and innovation into practice in biomedical translation and transitioning towards animal-free research and
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complex task and outcomes of a certain decision in practice often becoming apparent only after several years. Therefore, effective and long-term breeding programs require reliable insights in
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! Are you excited about pioneering the future of regenerative medicine? Do you want to work at the crossroads of biomaterials, organoid biology and developmental biology? Join the MERLN Institute and help us
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, translating knowledge into practice; Strong support network: Benefit from experienced supervisors, peer mentoring, and a dedicated coordination team; Societal engagement: Present your work to practitioners