608 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs in Germany
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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ScienceCountryGermanyCityRostockPostal Code18059StreetAlbert-Einstein-Straße 22Geofield Contact City Rostock Website https://www.uni-rostock.de/en/ Postal Code 18051 E-Mail alke.martens@uni-rostock.de STATUS: EXPIRED X (formerly Twitter
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well as in collaborative projects with other research centers. A willingness to teach in both the Data Science and Economic and Mathematics degree programs, as well as in teacher training, is desired
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colleagues and for sporting activities alongside work Flexible working hours and appropriate remuneration In addition to exciting tasks and a collegial working environment, we offer you much more: https
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3354/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientist (f,m,div) in the Field of Macroalgal cultivation. Details: https
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individually, e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR REMUNERATION: Depending on your qualifications and assigned
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material