22 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Lancaster University in United Kingdom
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leadership at scale, we would be delighted to hear from you. Please explore the full candidate pack: https://www.lancaster.ac.uk/jobs/student-support-and-wellbeing-services/
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tools and work wear provided Find out about more of our employee benefits on our website - https://www.lancaster.ac.uk/jobs To find out more about joining our award-winning Facilities team and an informal
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here: https://www.gov.uk/check-early-years-qualification ✔ Caring, reliable, and hard-working. ✔ Excellent communicators with great customer service skills. ✔ Team players with a flexible, positive
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the collaborative MURIDAE Cluster of the MRC National Mouse Genetics Network (NMGN, https://nmgn.mrc.ukri.org/clusters/muridae/ ). The MURIDAE project aims to elucidate how recently identified schizophrenia risk gene
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, studentships and eligibility criteria, see the website: https://www.lancaster.ac.uk/stor-i/apply
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through publications Please visit https://www.lancaster.ac.uk/jobs/dli-lecturers/ for more about the role and DLI How to apply: To submit an expression of interest, use the apply link but please first
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for people who are: ✔ Qualified with a full and relevant Level 3 childcare qualification: check your qualification here: https://www.gov.uk/check-early-years-qualification ✔ Caring, reliable, and hard-working
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-luleipzig@lancaster.ac.uk Further details about Lancaster University Leipzig can be found at http://www.lancasterleipzig.de/ We welcome applications from people in all diversity groups. Lancaster University
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team, you will be responsible for: • theoretical analysis of methods for calibrating and optimising simulation-based DTs • developing and maintaining research code implementing these ideas
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early