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, and optimizing ionization conditions. The ultimate goal is to integrate key negative ion mode features into computational workflows for enhanced proteome analysis. Refine bacterial lysis methods
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nanostructure R25-09 Development of advanced computational materials science methods and their application to next-generation devices and advanced materials R25-10 Development of Advanced Electron Microscopy
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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More info on the PhD project The TOBI lab (Translational Onco-genomics and Bio-Informatics) has an open position for a highly motivated biomedical researcher with expertise and interest in
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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sustainably use forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and