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2 Apr 2026 Job Information Organisation/Company TU Dortmund Department Mechanical Engineering Research Field Engineering » Control engineering Researcher Profile First Stage Researcher (R1
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assemble and disassemble – a property we want to harness to build self-regulating synthetic compartments. We are offering a PhD position focused on engineering feedback mechanisms that control condensate
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technologies Qualifications: - Master’s degree in a relevant subject, e.g., electrical or mechanical engineering, mechatronics, that meets the requirements for enrolment for the PhD degree at Technical
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, device engineering, and system integration. Applicants may apply for one primary PhD project from the list of 15 individual positions (DC1–DC15). In addition, they may indicate up to two optional choices
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 17 days ago
) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2026 Is the job
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within materials science and engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD
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resource extraction. We are offering a PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project aims to develop novel approaches for controlling
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. This system allows us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2: Teach anaerobes to survive a breath of air. You will
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026