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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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results in prior studies are a requirement (cum laude – distinction, or higher).•Experience with programming languages (such as R and/or Python) is an asset. •You can conduct independent research
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work received above-average grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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) device is under development in collaboration with Université catholique de Louvain (UCL). In general, the PhD topic is targeting the development of a systematic dataset of thermal conductivity evolution in
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de Geus (UCL-PA&Health) prof. dr. Kobe Boussauw (VUB-Cosmopolis) prof. dr. Geert Te Boveldt (VUB-Mobilise) Postdoctoral researchers: dr. Eva Van Eenoo (VUB-Cosmopolis) dr. Sara Tori (VUB-Mobilise
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ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063
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within a Research Infrastructure? No Offer Description PhD Position — The European Epitranscriptomics of Cancer Academy (EURECA) Network https://eureca-dn.com/ EURECA is a Marie Skłodowska-Curie Actions
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experience. Proficiency in Python. Experience with data analysis, machine learning, and AI methods. Motivation to tackle a challenging multi-disciplinary project. Bonus (but not required) Experience with