57 design-"https:"-"https:"-"https:"-"Institute-of-Computer-Science" Fellowship positions at Zintellect
Sort by
Refine Your Search
-
Degree, or Doctoral Degree. Discipline(s): Communications and Graphics Design (3 ) Life Health and Medical Sciences (7 ) Other Non-Science & Engineering (1 ) Social and Behavioral Sciences (1
-
driving biology in non-model insect pests Expanding skills and practical knowledge of experimental design and data analysis Refining micro- and nano-injection systems for specific developmental stages
-
. Fostering the next generation of Quantum Information Scientists is a top priority for the LQC. What will I be doing and why should I apply? The LQC National Quantum Fellowship is designed to support graduate
-
Technology Applications is offering an educational opportunity focused on discovery, design, development and delivery of globally impactful solutions for military relevant infectious diseases, brain health
-
participant will: Develop expertise in designing and conducting experiments in laboratory, greenhouse, and field settings for monitoring and managing row crop pests, especially cotton jassids in Mississippi
-
specialized equipment for bioassays, and accurately collect, manage, and analyze experimental data. The candidate will learn how to maintain comprehensive research records and apply experimental design
-
other scientists at NLAE, the fellow will enhance their ability to develop and execute multi-faceted multi-disciplinary experimental designs, communicate effectively with the agricultural and scientific
-
projects, from requirements gathering and design to on-site implementation, fostering a comprehensive understanding of project management in public service. Research advancements in agricultural engineering
-
community. Learning Objectives: As a result of this training, the participants will gain knowledge and experience in: Utilizing, adapting and development of genomic and molecular tools. Experimental design in
-
and geospatial assessment. Gain knowledge and contribute to the design and implementation of a data processing pipeline for high throughput plant phenotyping and soil sensing, enabling extraction of key