Instructor Led Pcr Training
Pcr Training Provider? - Tell us about your Training!
From EMLab P&K
Mold Allergens Sampling and Data Interpretation
This seminar provides a unique and valuable opportunity to meet, learn from, and discuss your questions with an industry leading laboratory with decades of experience in fungal analysis and IAQ investigations.
Topics include:
- Fungal health effects
- Sampling methods and devices
- Spore trap, culture, PCR, and other analytical methods
- Allergen sampling
- Data interpretation
- Analysis
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From Camo Process AS
Multivariate Data Analysis - I 3 Days
The Multivariate Data Analysis Level 1 training is a general, multipurpose introductory course. No prior knowledge of multivariate methods are required for the participants.
Who should participate in this program? The courses have been designed for individuals:
Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring
Working with
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From BioHealth College
Biotechnology Technician
The Biotechnology technician program prepares students to work in the bioscience industry in the fields of research and development, quality systems, production, clinical testing, and diagnostic work. This program covers extensive theory and hands-on lab exercises. Computer applications are also covered as part of the course. Financial aid is available for qualified candidates.
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)


The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes.
Course Topics
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Multivariate Data Analysis


Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with
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