Bio Training in Tuxtla Gutierrez

This instructor-led live training in Tuxtla Gutierrez (online or onsite) is aimed at scientists and anyone interested to learn about the basics of Nanoscience and its applications.

By the end of this training, participants will be able to:

• Understand the field of nanosciences and nanotechnologies.
• Differentiate those in the nano range from those in the micro range.
• Know the fundamental theory of electron and energy transfer.

This instructor-led, live training in Tuxtla Gutierrez (online or onsite) is aimed at healthcare professionals and workers who wish to learn intermediate to advanced-level knowledge of the different genetic sequencing and testing operations.

By the end of this training, participants will be able to:

• Learn and understand key concepts of genetics.
• Understand how genetic sequencing and testing operations work.

Good Clinical Practice (GCP) constitutes a framework of standards for clinical research involving human subjects. It establishes the international benchmark for the design, conduct, monitoring, documentation, analysis, and reporting of clinical trials.

Through this instructor-led live training, participants will master the essential guidelines and fundamental principles that underpin Good Clinical Practice (GCP) in clinical trials and research involving human subjects. While the course offers a broad overview of various GCP domains, it places particular emphasis on the ICH-centric GCP standards applicable to Investigational Drugs and Biologics.

Upon completion of this training, participants will be able to:

• Comprehend the core principles of GCP for investigational drugs and biologics, as defined by the International Conference on Harmonization (ICH).
• Effectively apply GCP guidelines to their clinical research and trials.

Audience

• Clinical investigators
• Clinical research professionals
• Healthcare and medical professionals
• Clinical trials support staff
• Research and development staff

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

This course is designed to provide researchers with a solid grasp of the principles of statistical design and analysis, highlighting their importance across various scientific fields.

The curriculum explores probability and statistical methods, primarily through practical examples. The training structure includes approximately 30% lectures and 70% guided quizzes and laboratory exercises.

For closed courses, we can customize the examples and materials to fit specific disciplines, such as psychology assessments, public sector applications, biology, genetics, and more.

Public courses utilize a mix of examples from different fields.

While various software tools are used throughout the course (ranging from Microsoft Excel to SPSS, Statgraphics, and others), the primary emphasis remains on comprehending the principles and processes that guide research, reasoning, and conclusion-making.

This course can also be offered in a blended format, which incorporates homework and assignments.