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software solutions for identifying and compensating for errors in blood measurements. The work will be in collaboration with Roche Diagnostics International, a leading manufacturer of blood gas analyzers
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in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field. The position will require the candidate to work both on the front and back
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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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of integrating GenAI in professional design software. You will join the Human Augmentation and Collaboration research group, an active and supportive research group focused on designing and evaluating interactive
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with FEM tools, such asOrcaFlexor similar, as well as metocean statistical assessment and design verification principles for marine structures in accordance with international standards and regulatory
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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient-deployment toolflows such as TinyML or FINN is a
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or related topics will be considered an advantage, as will familiarity with common tools for hydrological and hydrogeological modelling, but it is not a requirement that you already master specific software
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robotics software frameworks such as ROS/ROS 2. You will be expected to work both independently and collaboratively in an international research environment, with excellent written and spoken English skills
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental