Online Bio Training in Serbia

This instructor-led, live training in Serbia (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 Serbia (online or on-site) is tailored for healthcare professionals and workers who wish to develop intermediate to advanced proficiency in various genetic sequencing and testing operations.

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

• Learn and understand essential concepts of genetics.
• Understand how genetic sequencing and testing operations function.

Good Clinical Practice (GCP) constitutes a comprehensive framework of guidelines governing clinical research involving human participants. As the global benchmark, GCP dictates the standards for designing, conducting, monitoring, documenting, analyzing, and reporting clinical trials.

In this instructor-led live training, attendees will acquire knowledge of the essential guidelines and core principles underpinning Good Clinical Practice (GCP) for clinical trials and studies involving human subjects. While the course offers a broad overview of various GCP domains, it places particular emphasis on ICH-centric GCP standards for investigational drugs and biologics.

Upon completing this training, participants will be capable of:

• Grasping the fundamental principles of GCP for investigational drugs and biologics as defined by the International Conference on Harmonization (ICH)
• Applying GCP guidelines effectively within their clinical research and trial activities

Target Audience

• Clinical investigators
• Professionals in clinical research
• Healthcare and medical practitioners
• Staff supporting clinical trials
• Research and development personnel

Course Format

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

This course provides researchers with a comprehensive understanding of the principles underlying statistical design and analysis, highlighting their critical application across various scientific disciplines.

The curriculum covers key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lectures and 70% guided quizzes and laboratory exercises.

For customized courses, examples and materials can be tailored to specific fields such as psychology, public sector analytics, biology, genetics, and others.

Public courses utilize a mix of diverse examples to ensure broad applicability.

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

This course is also available as a blended learning program, incorporating homework and assignments.