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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next
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ExperienceNone Additional Information Eligibility criteria **Technical and Scientific Skills** PhD in analytical chemistry, biogeochemistry, environmental sciences, or a related discipline. Strong experience in
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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Requirements PhD degree in Physics, Chemistry or Material Science or a foreign degree equivalent to a PhD degree in Physics, Chemistry or Material Science. The degree needs to be obtained by the time of
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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pathways. Applicants must hold a PhD in engineering, climate science, energy systems, or a related field. Demonstrated expertise in whole energy system modelling or power systems analysis is a strong asset
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course per year. Your qualifications Applicants are expected to hold (or be close to completing) a PhD in political science, preferably with a focus on central-government relationships in Denmark since the
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New