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Field
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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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is highly preferred (Master’s degree or higher). Skills and Knowledge: Experience in analytical microscopy techniques. Engagement and management of technical programs deliverables. Preferred
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position as Research Associate or Senior Research Assistant in the field of social media and psychological well-being. Responsibilities: Assist in a meta-analytic research project on social media and well
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analytical platforms. The sub-sequent missions will be decided with the candidate. The candidate will use internally heated pressure vessels and piston-cylinders plus many analytical facilities, which are well
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solutions in digital agriculture. Working closely with the Data Center Director and interdisciplinary teams, the Specialist will help manage infrastructure, develop analytics workflows, ensure data quality
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in academic, industrial, or national laboratory settings. Familiarity with wet chemistry experiments and anoxic glovebox maintenance. Familiarity with IR spectroscopy, optical cavities, and analytical
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vulnerabilities and software testing practices Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving
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conferences) and commitment to further publishing activities. Experience with the development of testing methodologies and equipment. Strong analytical thinking, independence, and problem-solving skills
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Theory Artificial Intelligence and its Mathematical Foundations Mathematical and Statistical Methods for Big Data Analytics Mechanism and Data Modeling with Integrated Applications Requirements: Under
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very good knowledge of spoken and written communication in English. Ability to operate analytical equipment for PFAS analyses is meritorious. Advanced knowledge in soil science or electrochemistry is an