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, repairability, reuse, and/or recycling. Numerical and/or experimental analysis and modelling of machine components with the aim of improving their durability, reliability, and optimizing performance, and energy
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nature, involving optimization, control, data science, and/or machine learning problems will be evaluated positively. An interest in issues related to the challenge of the transition will also be
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resources, funding, and mentorship Your Responsibilities: Lead the design, development, and optimization of scalable AI inference pipelines Implement and experiment with LLMs, GNNs, multi-modal AI, and vision
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, specifically by critically evaluating and further optimizing existing components of the preprocessing pipeline, such as peak detection, retention time alignment, and data normalization. This will help reduce
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on equipment to ensure optimal performance. Implement advanced data processing tools, such as molecular networking (GNPS and other online platforms), into the existing workflow. You hold a degree in
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insights and models will support VUB in looking ahead, making informed choices, and acting strategically. Your responsibilities will include: Redesigning and optimizing the staff budgeting model to align
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and downstream processing, chassis strain engineering, and bioprocess optimization. Extensive experience working on tech transfer from lab-scale to pilot and commercial manufacturing
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for targeted antimicrobial efficacy. The project is structured into 4 work packages: • WP1: Fabrication of biocompatible electrospun scaffolds optimized for cellular interaction • WP2: Surface functionalization
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research around optical-based communications, including channel modeling, optimization of transmission and reception, network-based design, and evaluation Design and develop network layer and meta-MAC layer
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to optimize experimental workflows, troubleshoot problems, and achieve project objectives. Profile You hold a degree in Biomedical Sciences, Biology, Chemistry (Professional Bachelor/Master/Engineer