Bio Training in Winnipeg

This instructor-led, live training in Winnipeg (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 Winnipeg (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) is a set of guidelines for clinical research done on human subjects. GCP serves as the international standard for designing, conducting, monitoring, documenting, analyzing, and reporting clinical trials.

In this instructor-led, live training, participants will learn the most important guidelines and fundamental principles applied in Good Clinical Practice (GCP) for clinical trials and researches involving human subjects. This course provides an overview of the different GCP areas, but provides slightly more focus on the ICH-centric GCP for Investigational Drugs and Biologics.

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

• Understand the fundamental principles of GCP for investigational drugs and biologics as based on the International Conference on Harmonization (ICH)
• Apply the guidelines stipulated by the GCP to their clinical researches and trials

Audience

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

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.