219 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Zintellect
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
analysis of carrot nutrients and anti-nutrients, plant growth, pest and disease resistance. Activities include periodic travel to field sites within the U.S. Learning Objectives: Specific learning objectives
-
ecological modeling. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and cold chain research. The participant
-
growing conditions. We seek a highly motivated fellow to learn about assessing multi-omic data and perform comprehensive genetic and genomic analysis. The candidate will have an opportunity to gain
-
, farms rarely produce just one crop. Comparing the value of disparate crops to farms and human nutrition remains a challenge. The participant will learn from and collaborate with a transdisciplinary team
-
productive under sustainable management systems. Learning Objectives: The participant will gain skills in laboratory methodologies, experimental design, maize breeding, and data analysis. Through the course
-
. agricultural products. Learning Objectives: The participant will have the opportunity to learn about current methods for creating new catalytic materials and reactions to produce biofuels and chemicals. Hands
-
progress updates, directly supporting improved opportunities for effective pest management strategies and strengthening agricultural resilience. Learning Objectives: Under the guidance of a mentor, the
-
to participate in other aspects of vaccine development. Learning Objectives: The participant will learn how to: Prepare culture supernatants and cell lysate samples for purification by ultrafiltration, dialysis
-
this information can improve our ability to predict the spread and intensity of wildfires and prescribed fires. Learning Objectives: The program participant will learn a variety of new skills to measure
-
be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives