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, multi-object tracking, time-series prediction, anomaly detection). · Proficiency in programming (Python required; R/Julia or others a plus) and experience with data engineering tools (SQL, cloud
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at the academic-industry interface. Key Responsibilities Lead and manage multi-disciplinary academic-industry collaborative research projects in pharmaceutical sciences, with a focus on drug development, delivery
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outputs, e.g., workflow diagrams, policies and procedures, timelines, and reporting • Create, track, and manage timelines and related tasks to ensure effective implementation of the SCRI project goals
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Services (IPCEI-CIS) , bringing together 12 EU member states and about 120 industrial and research partners to drive Europe’s digital sovereignty. The main goal of IPCEI-CIS is to establish a "Multi
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) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of sustainable
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
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requirements definition, CAD/FEA modelling, multi-objective optimisation (e.g., DOE/GA/surrogates), prototype build, and laboratory validation. Track record of peer-reviewed publications (e.g., IEEE and IET
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occurs via small-scale extreme events that propagate to large scale. A detailed check of this hypothesis thus requires multi scale tools and dedicated experimental setups as well as the development
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characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating
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the following field: Circuit-Based Model Systems of Anhedonia If you hold a PhD or master’s degree with an outstanding track record or strong interest in this field, we invite you to apply with a project proposal