Online or onsite, instructor-led live Bio (Biology, Biotechnology or Bio Technology) training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Bio.
Bio training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Bio trainings in Lithuania can be carried out locally on customer premises or in NobleProg corporate training centers.
This instructor-led, live training in Lithuania (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
This instructor-led, live training in Lithuania (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
This is a practical workshop, which will introduce basics of bioinformatics. It is aimed at people with basic biological background and knowledge in molecular biology, who want to learn how to process and work with biological data using
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.
This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics.
Who are expected to
This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as
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