105 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Zintellect
Sort by
Refine Your Search
-
breeding. Learning Objectives: The participant will gain skills in laboratory methodologies, experimental design, horticulture, genetics, data analysis, statistics, and plant pathology. The participant will
-
and the production and purification of monoclonal antibodies. Learning Objectives: The participant will learn about reagent development and testing for diagnostic and vaccine product development in a
-
Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life
-
at the COSPRU. Learning Objectives: The participant will gain hands-on experience with in vitro cell lines and in vivo mouse studies. The participant will also gain hands-on experience in microbiota data analysis
-
multidisciplinary team to execute studies and analyze data. Learning Objectives: The participant will gain skills in the conduct of this research by collaborating side by side with Federal scientists and technicians
-
surveillance missions worldwide. Participating in the preparation of manuscripts for publication Developing leadership skills and roles in research projects Learning how a high-throughput laboratory at
-
. Given data from such “in the wild” techniques, CCDC ARL researchers are seeking to apply machine learning methods to both predict behavior and make inferences about the underlying processes that generate
-
distilling process that can be attributed to barley variety or processing methods. Summarized data will be disseminated to collaborating scientists located across the US. Learning Objectives: The fellows will
-
Degree, Master's Degree, or Doctoral Degree. Academic Level(s): Any academic level. Discipline(s): Computer, Information, and Data Sciences (14 ) Engineering (27 ) Mathematics and Statistics (10
-
that seeks to identify molecular and physiological markers that can improve early detection of phytoplasmas, ultimately helping to reduce phytoplasma-related diseases. Learning Objectives: Under the guidance