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Field
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of their mechanisms, and hit-to-lead optimization. Key Responsibilities Perform recombineering in non-tuberculous mycobacteria. Conduct cell-based assays, microbiological studies, and genetic investigations. Lead mode
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research and education in data science, statistics, machine learning, optimization, and business analytics. The department collaborates closely with industry and the public sector and hosts regular research
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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representation with deep-learnt visual features, toward machine uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a
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strategies, and integration of participant feedback; and Works closely with the research teams to optimize intervention content and delivery. Project management Assists with coordination of project activities
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and usability 2) increase the range of I/O optimizations supported by the library (e.g., deduplication, caching, scheduling) and 3) identify the limitations and required modifications to the platform
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of their function, resulting in high-quality datasets that should be employed in a machine learning directed evolution (MLDE, active learning) cycle to optimize protein designs for activity, expression, and yield
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Master thesis in this field - very good knowledge of English (min. B2) - experience in machine optimization of experiments with cold atoms desirable - experience in programming and data
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fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The ADAPQO project aims to develop technology for optimizing queries on data management systems. In this context, the main