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for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and
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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the
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an integrated model of plant carbon allocation, based on eco-evolutionary optimality theory. The PDRA will be explicitly responsible for designing an approach to evaluate and model carbon allocation to non
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is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in discrete optimization, demonstrated by at least one publication, is essential. Strong
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utilizing structured Excel databases. Ideal Candidate The optimal candidate will possess an undergraduate or postgraduate qualification in life sciences (biomedical science, nutrition, human physiology
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Python, using GPUs), with the precise balance determined by the candidate’s background and interests. The mathematical tools involved will include matrix analysis, optimization, backward error analysis
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derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium, and you will be among colleagues working on a
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. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe
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Associate Support development and documentation of Python-based Design Tool workflow for D-Suite Project Formulate and solve optimization problems, developing algorithms which have appropriate accuracy