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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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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
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Health, Data Science, Remote Sensing, Geomatics or a closely related discipline•Strong analytical and programming skills (e.g. Python or similar)•Experience in at least two of the following areas
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in R and/or Python Excellent communication skills and fluency in English (oral and written) Independent, proactive, rigorous, results-driven, solution-oriented, and a critical thinker Collaborative
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(advanced) programming skills in C/C++. Proficiency in Python and/or MATLAB is an added advantage. You are a collaborative team player with excellent communication skills. You demonstrate a high level of