01:04

EMSL Internships | EMSL Careers

29:56

How Artificial Intelligence is Advancing Biological Science | Bonding Over Science

44:47

Introduction to Machine Learning for Biological Applications | 2023 EMSL Summer School, Day 5

36:41

The What and Why of Multi-Omics Integration | 2023 EMSL Summer School, Day 5

25:22

Case Study with MixOmics | 2023 EMSL Summer School, Day 5

19:56

Proteomics and Image Analysis | 2023 EMSL Summer School, Day 5

45:48

Post-differential expression analyses | 2023 EMSL Summer School, Day 4

30:19

Pre-processing of Transcriptomics Data | EMSL Summer School, Day 4

36:14

Statistical Models for Transcriptomics Data | 2023 EMSL Summer School, Day 4

42:51

Express Yourself! Transcriptomics from sample to counts | 2023 EMSL Summer School, Day 4

52:31

Types of Proteomics | 2023 EMSL Summer School, Day 3

50:52

Biological Interpretation | 2023 EMSL Summer School, Day 3

45:29

Types of Statistical Processing for Proteomics Data | 2023 EMSL Summer School, Day 3

48:48

Missing Data and Imputation | EMSL Summer School, Day 2

58:15

Unsupervised Learning | 2023 EMSL Summer School, Day 2

01:01:45

Experimental Design | 2023 EMSL Summer School, Day 2

58:15

Electron Diffraction and Reactivity-Driven Methods Development | EMSL XChange Seminar Series

28:02

Data Science Communication | 2023 EMSL Summer School, Day 1

33:40

Data Science for Omics Data | 2023 EMSL Summer School, Day 1

43:19

EMSL Data Science Tools | 2023 EMSL Summer School, Day 1

53:21

Data Science Workflows | 2023 EMSL Summer School, Day 1

56:49

Open OnDemand Software and Remote Access to EMSL’s Computing Resources | EMSL LEARN Webinar Series

00:59

Nanoscale Secondary Ion Mass Spectrometry (NanoSIMS) | EMSL Instruments & Resources

18:19

Rising Wildfires | Bonding Over Science

54:29

Exploratory Proposal Call Topics | EMSL LEARN Webinar Series

23:21

Finding Earth’s Lost History on Mars | Bonding Over Science

58:28

Isotope labeling to track nutrient flow | EMSL LEARN Webinar Series

01:01

Dual Anonymous Peer Review at the Environmental Molecular Sciences Laboratory

01:00:11

Interactions between turbulence and physics and cloud chemistry | EMSL XChange Seminar Series

41:58

Organizing & Interfacing Multiphoton Printed Biomaterials | EMSL XChange Seminar Series

00:55

The Muscle of Mussel Foot Proteins | EMSL User Science

22:39

The Muscle of Mussel Feet | Bonding Over Science

00:31

2023 EMSL Summer School: Promo Video

54:30

Aerosol Research Capabilities at EMSL | EMSL LEARN Webinar Series

01:47

Mass Spectrometry | EMSL Instruments & Resources

22:40

Fungi: Friend or Foe | Bonding Over Science

07:35

Proposal Submission | MONet

05:23

METADATA: Sample Link Versus Source Material Identification

58:26

Imaging Organic Matter-Mineral Interactions | EMSL LEARN Webinar Series

11:53

How Algae Affects Climate and Human Health | Bonding Over Science

01:37

Molecular Observation Network and X-ray computed tomography

58:49

Goldilocks Principle: Just the right amount of growth | EMSL Xchange Seminar Series

01:02

The Molecular Observation Network (MONet): Get involved

01:33

Molecular Observation Network Sampling Protocol

01:55

EMSL's Molecular Observation Network (MONet): Mission and Vision

54:51

EMSL Capabilities for Computing & FY24 Calls for Proposals | EMSL LEARN Webinar Series

01:01

Submit a proposal to access cutting-edge scientific instruments and expertise at EMSL

01:04

EMSL's Qian Zhao on XPS and mineral-microbe interactions

01:05

EMSL's Emily Graham on the Molecular Observation Network

01:30

EMSL soil and geochemist Odeta Qafoku on organic-mineral interactions

00:58

EMSL computational scientist Yuri Corilo on the Molecular Observation Network

47:53

EMSL Capabilities for Biological Research & Calls for Proposals | EMSL LEARN Webinar Series

56:14

EMSL Resources for Environmental Research and Open Calls for Proposals | EMSL LEARN Webinar Series

06:40

METADATA - Use and Importance of Metadata

01:41

Nanodroplet Processing in One Pot for Trace Samples (NanoPOTS)

01:01:07

Using Nuclear Magnetic Resonance for Analyzing Molecules and Mixtures | EMSL LEARN Webinar Series

20:18

Predicting Antimicrobial Properties of Lignin Derivatives | 2022 EMSL User Meeting

26:42

AlphaFold2 & AI/ML resources for cryo-EM imaging | 2022 EMSL User Meeting

26:42

Open Source Software for NMR Metabolite Quantification | 2022 EMSL User Meeting

17:34

Modeling Photo Induced Electron transfer and transport | 2022 EMSL User Meeting