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Field
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other protein assemblies with precise geometry, thereby creating
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Recognised Researcher (R2) Country Sweden Application Deadline 2 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Recognised Researcher (R2) Country Sweden Application Deadline 22 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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foreign degree in speech technology, computer graphics, machine learning, computational linguistics, or a related area. This eligibility requirement must be met no later than the time the employment
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(FFL) program. Your major responsibilities as postdoc are to pursue your own research. This includes developing scientific concepts and communicating research results verbally and in writing
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research field The postdoctoral position in Practical Theology is part
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. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both
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, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML