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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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» Environmental technology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 22 Mar 2026 - 00:59 (UTC) Country Poland Type of Contract Temporary Job Status Full-time Hours
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opportunities for scientific leadership and industry engagement. Eligibility criteria Applicants hold a PhD in Computer Science, Software Engineering, Cybersecurity or a related field, have a strong background in
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 hour ago
to include multiple venues within the university setting. · For the acquisition, support, and maintenance of the simulators, clinical practice laboratories, and associated technology-based initiatives
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visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Interaction Design and Software Engineering , we design
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biological data and AI expertise into trustworthy, reproducible digital assets that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as
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respiration, POXC, aggregate stability, ACE protein, potentially mineralizable nitrogen, etc.). Proficiency with statistical analysis and data management using software such as R, SAS, or similar programs
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic