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Experience Desired degree: PhD Desired experience: at least 2 years in a photonic imaging facility Skills and Competencies Biology: applied methodology (advanced knowledge) Design of experimental setups
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Knowledge/Qualifications Essential: A1 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or
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The Institute of Physical Chemistry PAS invites applications for a PhD student position within the newly established Department of Chemical Biology (DCB), created as part of the EU-funded project (Horizon Europe
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Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
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environment consisting of PhD scientists, graduate students, and undergraduate students. Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant
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Science Act of July 20th 2018 (Journal of Laws of 2018, item 1668 as amended) and the Statute of University of Wroclaw. Requirements The candidate is required to have: Holding a PhD or habilitated doctor in
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students. Your qualifications as an Ingenious Partner: PhD-level qualification in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or a closely related discipline with a focus
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, for example, https://github.com/JKU-ICG/AOS/ ) Writing and contributing to high-impact research publications and major grant proposals Co-supervising MSc, BSc, and PhD students Preparing and teaching
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; experience in managing research projects; essential knowledge in the field of food technology, human nutrition, analytical chemistry, biotechnology, or a related discipline; very good command of English, both
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more than 10 pages, which combines your personal, teaching, research and diversity statements. You should have a PhD in Robotics, AI, or a closely related field and be able to demonstrate a thorough knowledge