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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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modulators. Your profile We are looking forward to applications from highly motivated researchers (m/f/d) with a basic education in the life sciences and a PhD in biochemistry, molecular biology, or equivalent
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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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. 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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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
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(RuzicaDadic), University of Fribourg (Martina Barandun and Horst Machguth), and ETHZurich (Evan Miles). The core team consists of the 4 PIs, 4 PhD students, and 4 Postdocsand aims to quantify the impact of
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info Website phone email jobs@unilu.ch Frohburgstrasse 3 6002 Luzern Switzerland Our current jobs 1 100%11.02.2026 Universität Luzern Two (2) PhD students in Health Sciences (100%) more arrow_right_alt
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metamaterials Your profile You have a PhD in mechanical engineering, ceramics or a similar field. Previous experience with one or more of the following topics is required: Processing of SiC-based ceramics
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documents: CV with list of publications A one page summary of your PhD (up to 3,500 characters) A two page presentation of your research plans during your time in the professorship (up to 7,000 characters
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer