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Field
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" in Ingolstadt, a unique opportunity opens up for you: Explore the potential of sensors, AI, and actuators to revolutionize autonomous flight systems. In close collaboration with leading industry
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working on forage quality analysis using NIRS or wet chemistry methods Experience of using soil and water sensors and handling big data Experience with field research, experimental design, data collection
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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management, design, maintenance, preservation, rehabilitation, smart structures, smart cities, sensor technologies, and advanced materials. Provides technical input on existing contracts and upcoming proposals
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interplanetary travel. Autonomous Systems: Develop AI algorithms, robotics, and autonomous software to enhance spacecraft operations and exploration. Implement machine learning techniques for improved autonomy and
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the appointment, and will have experience in asymptotic, algorithmic or probabilistic combinatorics, or a closely-related area. Applicants should also be active researchers with good written and oral
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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financing as CEO or CTO, in the technology sector, such as sensors, electronics, photonics, sustainability and cleantech, AI/ML, quantum computing, or semiconductors; or equivalent life science industry
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diagnostic tools, automation, advanced software, and sensors and controls among others). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present
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near to completing a PhD in neuroscience, biology, or a related discipline. • Experience with hardware development, sensor integration, or custom device fabrication. • Experience with