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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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Title: Dynamic Processes in Organic Functional Materials Supervisors: Professor Paul R. McGonigal & Dr Alyssa-Jennifer Avestro Start date: 1st October 2026 Applications are invited for a DPhil
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background in bioinformatics, systems biology, molecular biology or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux Experience in constraint
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multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 17 hours ago
Degree Dr-Ing Doctoral degree or degree awarded by RPTU Kaiserslautern-Landau or Saarland University Course location Kaiserslautern In cooperation with Max Planck Institute for Informatics, RPTU
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information regarding the topic of position, you are welcome to contact prof. dr. Thomas Hoppe (t.hoppe@utwente.nl ). Website for additional job details https://www.academictransfer.com/356735/ Work Location(s
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are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en
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Chemistry » Physical chemistry Computer science » Programming Computer science » Systems design Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 28
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-microbe interactions, mycology, and microbial ecology. The position is placed in the Forest Microbiology group. Read more about what it is like to work at SLU at: https://www.slu.se/en/about-slu/work-at-slu
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, these robots must perceive, plan, and act in open-world conditions: never-seen objects, shifting lighting, clutter, domain shift, and multi-task requirements. These factors challenge current robotic systems