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Foundations: Knowledge of optimization techniques (e.g., LP, CVX, etc), including for/with ML (first order methods, data-driven algorithms, etc). Data Foundations: Hands on experience in data analysis (Python
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other things, cell programming and patterning. Current methods for hormone-induced regeneration in tissue culture often give limited and unpredictable results. Even in optimal conditions only a few cells
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and make proposals for optimizing determinations and methods. The research we conduct at WFSR focuses on safeguarding a safe food chain. In the department where you will work, we mainly focus
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://www.universiteitleiden.nl/en/staffmembers/laura-heitman#tab-1 at Leiden University! What you will do Project objectives are: Develop expression and purification methodologies for GPCRs Develop and optimize affinity selection
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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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Electrical Engineering, Computer Science, or a related discipline. A research-oriented attitude. Solid background in machine learning and optimization methods. Knowledge and experience in (wireless
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Knowledge of alternative propulsion systems (hydrogen, electric, hybrid) Familiarity with ATM concepts, airspace design, or traffic flow management Experience with optimization or operational research methods
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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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the Commencing CRISPR Commons project, funded by the Gates Foundation, which aims to establish a plant‑optimized, freedom‑to‑operate genome editing platform based on the ThermoCas9 nuclease. CRISPR/Cas systems
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to