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Bioprocess Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
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information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation
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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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for establishing properties of quantum programs - Reduction methods and metrics for quantum systems - Decision diagrams for efficient analysis and simulation of distributed quantum programs - Statistical model
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cooperative behaviors such as joint mapping, coordinated inspection, or adaptive navigation. Digital twin simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite
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in soil-plant water relations, crop stress physiology, measurement and modelling of stomatal conductance and water-use efficiency, root growth and crop drought adaptation. Together, these areas aim
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https
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exchange with top research environments worldwide. The positions are funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending