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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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using reporting and data visualization tools such as Tableau and Power BI. * Demonstrated experience with statistical software packages such as R, Python, SPSS, JMP, or SAS. * An equivalent combination
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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equipment - with minimal supervision (e.g., Python, Arduino/Raspberry Pi) - Experience designing and building equipment or devices (laboratory instrumentation preferred) - Hands
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., MATLAB, Python) Understanding of thermodynamics and gas transport processes Ability to develop, implement, and test numerical algorithms Ability to work independently and collaboratively in a research team
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
statistical and econometric analysis, and produces tables and figures using statistical programming languages (R, Stata, or Python) Writes memos summarizing methods and results, and contributes to academic
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of Excel is required, and knowledge of other programming languages (Python, R) is a plus Experience working with military and/or foreign aid data Excellent English skills. No German skills required
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ETHOS.HiSim, a python package to simulate households and building systems. Identification of techno-economic data for buildings, retrofitting options, heating and cooling systems, and the building stock
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna F1030-7812 PID2022-139551NB-I00 Call for selection of research asistants https://sede.urjc.es