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models for financial planning, resource planning and control of EA’s budget and will analyze and prepare recommendations for financial plans, including resource allocations, future financial/budget
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English
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-performance relationships in inorganic materials. Develop, implement, and optimize automated research workflows with real-time monitoring, data acquisition, feedback, and reproducibility controls. Analyze
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, network science, optimization, or related areas. Experience contributing to government, defense, or security‑related R&D programs (internships, fellowships, or full‑time roles). Familiarity with simulation
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-dimensional scaffolds using FDM 3D printing for cell culture applications. Develop and optimize biomimetic materials with controlled mechanical and biochemical properties. Functionalize scaffolds with
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problems using existing procedures to find a possible solution. The Research Computing Center (RCC) is seeking a highly motivated Research Software Engineer for developing, maintaining, and optimizing
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data science expertise (e.g. Python, optimization strategies, RL) 30% Research question design and literature review, with focus on Drosophila biomechanics and neuroscience 10% Manuscript writing and
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will work with state-of-the-art software and equipment to implement new processes for the efficient use computer numerically controlled and manual machining equipment which are used to create custom
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workflows, enhancements, optimizations, and new modules or software while also ensuring adequate change control and testing processes occur. Team members work on a vast array of projects that propel MM
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | about 1 month ago
Cooperative trajectory planning and coordination of UAVs, USVs, and AUVs/ROVs Optimal control and Model Predictive Control (MPC) for autonomous and multi-robot systems Convex and non-convex optimisation methods