189 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Zintellect
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
-
to exploit in their projects. Characterization of the alfalfa collection can aid in effective management of this important resource while improving and promoting its use by stakeholders. Learning Objectives
-
the discharges of wastes associated with conventional sorbent synthesis; • Learning on applied, cutting-edge projects with global impact while being mentored by the nation’s leading energy scientists
-
for the Department of Defense, the U.S. Army and many other customers while also supporting ERDC’s research and development mission in geospatial research and engineering, military engineering, and civil works. ERDC
-
conditions. Anticipated outcomes of the project include criteria for selection of fungal genotypes that will be developed into new biocontrol products for mitigation of crop aflatoxin contamination. Learning
-
of waterbird ecology, population dynamics, and disease processes to inform science-based conservation and management decisions. Learning Objectives: You will develop skills in designing and conducting a
-
students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
-
professional scientific environment. Learning Objectives: The participant will have the opportunity to train with a team of microbiologists. Learning opportunities for the participant may include learning
-
, focusing on gene editing and molecular breeding techniques. While flowering in sugarcane is an undesirable trait for Florida farmers, it plays a crucial role in crossing and breeding. Through this learning
-
to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity