Bio Training in Prague

This instructor-led, live training in Prague (online or onsite) is designed for scientists and anyone eager to learn the fundamentals of Nanoscience and its practical applications.

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

• Grasp the scope of nanosciences and nanotechnologies.
• Distinguish between the nano and micro ranges.
• Comprehend the fundamental theory of electron and energy transfer.

This instructor-led, live training in Prague (online or onsite) is designed for healthcare professionals and workers seeking to acquire intermediate to advanced knowledge of various genetic sequencing and testing procedures.

Upon completing this training, participants will be able to:

• Grasp and comprehend essential concepts in genetics.
• Understand the mechanisms behind genetic sequencing and testing operations.

Good Clinical Practice (GCP) establishes the global framework of guidelines for clinical research involving human participants. It serves as the international benchmark for the design, execution, monitoring, documentation, analysis, and reporting of clinical trials.

Through this instructor-led live training, attendees will master the essential guidelines and core principles of Good Clinical Practice (GCP) as applied to clinical trials and research on human subjects. While the course offers a broad overview of GCP domains, it places particular emphasis on the International Council for Harmonisation (ICH)-centric GCP standards for investigational drugs and biologics.

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

• Grasp the fundamental principles of GCP for investigational drugs and biologics, as defined by the International Conference on Harmonization (ICH)
• Apply GCP-compliant guidelines to their own clinical research and trial activities

Target Audience

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

Course Format

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

This course provides researchers with a comprehensive understanding of statistical design principles and analytical techniques, highlighting their critical relevance across various scientific fields.

The curriculum explores key concepts in probability and statistical methods, primarily demonstrated through practical examples. The training structure consists of approximately 30% instructional lectures and 70% guided quizzes and laboratory exercises.

For closed-course arrangements, we can customize the examples and learning materials to align with specific sectors such as psychology testing, public administration, biology, or genetics.

In open or public course settings, a diverse mix of examples is utilized to ensure broad applicability.

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

This program can also be offered in a blended format, incorporating homework assignments and structured tasks.