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- IRTA
- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
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- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Institute for bioengineering of Catalonia, IBEC
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professional growth and development Specific Requirements Previous experience in crop modelling would be an advantage Programming skills – preferably in Python Experience or knowledge in crop physiology and soil
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements
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of Python and Matlab will be valued LanguagesENGLISHLevelGood Years of Research ExperienceNone Additional Information Selection process How to apply: Interested candidates must send their applications
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positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
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, oriented in Energy Systems. Minimum 3 years of experience in energy system modelling and/or control. Knowledge of Energy Markets, Excellent knowledge of Python Spoken and writing capabilities in Spanish
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. Proven experience (>4 years) in energy systems storage modelling or energy optimization. Experience in scientific writing (papers, conference proceedings). Proficiency in Python or similar programming
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, analysis). Strong programming skills (Python, Matlab, …) Good background in statistical analysis Excellent written and oral communication skills in English Specific Requirements Experience with MRI data
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Essential Knowledge and Professional Experience Previous experience in biophysics, machine learning, statistics, or physics Strong programming skills (Python, R; C++ is a plus) High motivation and scientific
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showing the marks of all subjects studied. Specific Requirements Familiarity with statistical programming languages (e.g., R / RStudio and/or Python) and statistical methods will be valued. Familiarity in
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biology and laboratory techniques (e.g., qPCR, immunofluorescence, among others). Knowledge of image analysis using ImageJ or similar software. Proficiency in MATLAB and Python will be considered