182 requirements-engineering-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate
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collaboration with other members of the Skrydstrup Group financed by the Villum Foundation. Your profile The candidate must have a PhD in synthetic chemistry or similar The candidate is required to have a strong
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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. REQUIREMENTS: Doctorate in Biology or related subject (required) Research experience in reproductive biology and/or epigenetics (required) Strong commitment to research in a collaborative environment (required
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THE UNIVERSITY OF LIVERPOOL Faculty of Science and Engineering School of Physical Sciences Department of Chemistry Postdoctoral Research Associate in Structure Determination for Materials Discovery
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Contract type : Fixed-term contract Level of qualifications required : PhD or equivalent Fonction : Post-Doctoral Research Visit About the research centre or Inria department The Inria centre
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Industrial Efficiency: Access to shared resources and facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth
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mature into fully independent researcher. Successful candidate will gain an experience in genome wide technology, CRISPR-Cas editing, mouse models and stem cell biology. Applicants should have a Ph.D. and
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Research Associate to investigate how biomolecular phase transitions guide higher-order genome structure and influence disease. We combine biochemistry, genomics, cellular engineering, and advanced
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs