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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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Python and R. Candidates must be able to perform in international settings, both academic and non-academic, virtual and in person (conditions permitting). Significant travel may be required (conditions
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 2 months ago
, bioinformatics, biotechnology, health sciences or related fields Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
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AZ Inst for Resilience Department Website Link https://air.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Arizona Institute for Resilience in Office of Research
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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the fundamentals of machine learning, with the ability to use Python or R. Experience working with messy, real-world data sets. Experience working with text, images, or other non-tabular data formats. Pay Range
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software tools to model systems e.g. R / Python / VBa / bespoke microsimulation or other software packages Desirable Interview Good knowledge of statistical methods relating to the analysis of cross
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of contract research staff to carry out activities related to research lines or scientific-technical services Ref. Interna M3377-7756 101137289 Call for selection of research asistants https://sede.urjc.es