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. Applications via email, postal services or agencies will not be considered. For general inquiries please send an email to robin.teufel@unibas.ch. https://pharma.unibas.ch/en/persons/robin-teufel/ Where to apply
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will combine infection models and patient-derived samples with approaches spanning cell and structural biology, supported by advanced imaging techniques, including cryo-electron microscopy (cryo-EM) and
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other means cannot be considered. For questions, contact Kathrin Eckerth by email: sek-mlps-englsem@unibas.ch with the subject Post-doc in English linguistics, Locher. Where to apply Website https
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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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should hold a PhD in organic chemistry, polymer chemistry, materials science, or a related field. Candidates must have: Experience in organic synthesis, polymer synthesis or polymer materials Interest in
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Publishing research findings in leading international journals and presenting at conferences Active involvement in teaching and lab duties outside of the project (~15-20% of working time) Profile PhD in
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who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics, or related
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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relevance Profile Interested candidates should meet the following requirements to be eligible for the position: A PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a field