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. The DELPHI project, a collaboration between UMCG, UG, Health-Ecore and Protyton, aims to advance lung cancer treatment using molecular modeling and computational analysis for personalised care. DELPHI seeks
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sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete
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models, Taylor models, optimisation, and statistics. Scientifically, the candidate will, in particular: propose and perform research in the field of differentiable programming/intelligence, where
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research team to develop strategies and business models that are regenerative, profitable and scalable. You are based in both the RSM Finance Department and at the Animal Production Systems group
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on their expertise and tasks, fostering their professional development. RIDE supports self-reflection across five key domains of the university’s Teacher Development Model (more information: Our vision on teacher
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foundation in statistical modeling and algorithm development, with the ability to translate complex data into actionable insights; Preferably, experience applying these methods in the context of healthy
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or several applications related to requirement engineering, system and subsystems design, modelling, implementation, analyses, verification, testing, validation and qualification. Typical areas where the use
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stability and efficiency. Onboard Software Modelling: Modelling the behavior and timing constraints of onboard software introduces significant complexity. Ensuring alignment between the simulated and real
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living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and embryonic stem cell models of cell differentiation. Design and screen therapeutics
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logic-based methods); non-standard computational models (e.g., quantum and bio-inspired computation); security and privacy (e.g., homomorphic encryption and anonymity); computational geometry, graph