66 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Utrecht University
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/DEBtox, SSD, IBM, PBPK, or related quantitative approaches. Strong quantitative and programming skills (R and/or Python). Experience integrating large monitoring datasets and conducting statistical
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your own line of research, it would be of advantage to be interested in facilitating transnational access to our state-of-the-art laboratories for which we collaborate in two European programs. You will
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the Reproductive Genetics team. Your job Your main tasks will consist of supporting a vibrant clinical programme in all activities related to in vitro production and preservation of horse embryos (oocyte recovery
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teaching line within the Biology Bachelor’s programme and its own track Behavioural Ecology in the Master Environmental Biology. More information For more information, please contact Dr. Jorg Massen
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team players who want to play an active role in an inter- and transdisciplinary research community and training programme Our offer a job for 1 year, with an extension to a total of four years upon
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Mathematical Institute which is part of the Department of Mathematics . We organise and teach the Bachelor's curricula in Mathematics as well as the (English-taught) Master's programme in Mathematics and some
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methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid knowledge of statistical inference, statistical
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responsibilities include: developing an independent research plan on Reclaiming EdTech Imaginaries , aligned with the empirical, theoretical, and practice-oriented objectives of the Vidi project; conducting high
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States of America) and you have obtained a diploma of secondary education in English for at least 2.5 years in one of the above countries. You have obtained your higher education diploma in English (the entire programme
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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high