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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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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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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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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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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
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biology, this research aims both to optimize inhibitors specifically for inhalation therapy and to investigate their mechanisms of action within infection models. You will organise your own PhD research and
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, analysis, and presentation of flow data Antibody titration, troubleshooting, and panel optimization Train new lab members and stay up to date with technological advancements Maintain organized records and
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optimally Maintain accurate and organised records of experimental data, results, and lab activities Embedded Systems & Applied Computing Embedded programming: C/C++, Python, and ideally some familiarity with