Bio Training in Lille

This instructor-led, live training in Lille (online or onsite) is designed for scientists and anyone interested in learning the basics of Nanoscience and its applications.

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

• Grasp the concepts and scope of nanosciences and nanotechnologies.
• Distinguish between objects in the nano range and those in the micro range.
• Understand the fundamental theories underlying electron and energy transfer.

This instructor-led, live training in Lille (available online or in-person) is designed for healthcare professionals and personnel who wish to acquire intermediate to advanced knowledge of various genetic sequencing and analytical procedures. 

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

• Learn and grasp the fundamental concepts of genetics. 
• Comprehend the mechanisms behind genetic sequencing and analysis operations. 

Good Clinical Practice (GCP) comprises a set of guidelines governing clinical research involving human subjects. It serves as the international standard 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 core principles applied in Good Clinical Practice (GCP) for clinical trials and research involving human subjects. While the course provides an overview of various GCP areas, it places particular emphasis on ICH-centric GCP regarding Investigational Drugs and Biologics.

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

• Grasp the fundamental principles of GCP for investigational drugs and biologics, as established by the International Conference on Harmonization (ICH)
• Apply GCP guidelines effectively 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 equip researchers with a solid grasp of the core principles underlying statistical design and analysis, highlighting their critical application across diverse scientific fields.

The curriculum explores key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lecture-based instruction and 70% hands-on guided quizzes and laboratory exercises.

For closed-group sessions, we can customize the examples and materials to align with specific domains, such as psychology assessments, public sector analytics, biology, genetics, and more.

Public course participants will engage with a diverse mix of examples reflecting various disciplines.

While the course utilizes various software tools ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on comprehending the underlying principles and logical processes that guide research, reasoning, and conclusion-drawing.

This program can also be offered as a blended learning experience, incorporating homework and assignments to reinforce learning.