- Epidemiology and relevance of the study of pain;
- Anatomy of the pain pathways;
- Chemical mediation of acute and chronic pain;
- Receptors and channels involved in pain and analgesia;
- Laboratory techniques used in the study of pain;
- Intracellular signaling pathways involved in pain;
- Pharmacology of pain;
- Use of toxins as tools for the study of pain and the development of new drugs.
Investment: R$ 60,00
Date: 23/07/18 à 27/07/18
Time: 08h30 to 17h30
Sign up to: 06/11/2018
Local: Butantan Institute
The R language, along with Python, has been outstanding in the scientific area, mainly in Bioinformatics. It was created with the intention of being the computational language for statistics and biostatistics. Easy to learn, a novice user can, in a short time, learn to control files, generate statistics and graphics of the highest quality. This course is aimed at all those interested in data processing and generation of statistics, both biological and exact. What is important is the interest in biological problems and their quantitative interpretation, using computational tools. Therefore, this will be a practical course of direct application with the use of a computer (hands on).
There will be twelve classes, the first six being dedicated to R language and the rest to initial concepts and practice of biostatistics. At the end of the first week there will be a double work (40% of the grade) and at the end of the course an individual test (60% of the grade). Students who score 6 (60%) or above, will be approved and will receive a certificate of completion.
There are no prerequisites. Every student has to bring their laptop with Windows, Mac OS or Linux and the ID badge of the Foundation or the Institute for attendance registration. You will need to pre-install R and R-Studio (instructions will be sent to subscribers).
Date: 03/19/18 à 04/04/18
Time: 15h to 17h
Local: Sala de Seminários do Laboratório de Bacteriologia II / Butantan Institute
Access the CENTD Informa n. 07
This is an initiative of the Directorate of Innovation, which aims to disseminate this culture in the Institute, seeking to develop people prepared to suggest improvements and innovations, coupled with a set of new visions, procedures and resources that will certainly enhance institutional growth. Access the Information
Click here and learn more about this initiative, through an interview with the Director of Innovation, Ana Marisa Chudzinsk Tavassi.
The MBA Management of Innovation in Health team has prepared the new course and is also coordinating this organization.
The course is semi-presential (blended learning) and structured for the theoretical and practical development of professionals, so that they can follow and manage the stages of the innovation process in health.
The face-to-face classes are weekly, held on Mondays and Wednesdays from 5:00 p.m. to 8:30 p.m. and have faculty and experienced lecturers, who adopt successful innovation management tools and practices, and provide participants with executive learning experiences that bring together high level academic content, taught by teachers and researchers, and practical skills, reported by market professionals.
The distance learning activities are carried out through the Internet, through the Butantan Online Platform, and also developed by the MBA team. It is a virtual learning environment that enables the student to perform their activities at the most appropriate times, according to their routine.
The objective of the course is to prepare managers who seek to structure innovation in the institution and at the same time, to spread this culture in Butantan.
Access the Information
The R language, along with Python, has been outstanding in the scientific area, mainly in Bioinformatics. It was created as a computational language for statistics and biostatistics. Easy to learn, a beginner can, in a short time, learn to control files, generate statistics and graphics of high quality. This course is aimed at all those interested in data processing and generation of statistics, both from biological and exact areas. What is important is the interest in biological problems and their quantitative interpretation, using computational tools. Therefore, this will be a practical course of direct application with the use of a computer (hands-on).
Data: 04/24/17 to 05/04/17 (except 05/01/17, holiday)
Time: 15h to 19h
Local: Centro de Difusão Científica (CDC)
Access to CENTD Informa