108 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Zintellect
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. Academic Level(s): Doctoral Degree (Postdoctoral Fellow). Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17
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, recording data, collecting samples, and processing and conducting various molecular analyses on the collected samples. This will be in both the laboratory and field using modern molecular techniques. Learning
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of a multidisciplinary team. They will research both independently and collaboratively, prepare peer-reviewed publications, and create conference presentations. Learning Objectives: This opportunity
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(EACE) is a unique organization within the DoD consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities across the nation. In line with the
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to assess cane yield and quality traits. Learning Objectives: The participant will gain hands-on laboratory experience and learn laboratory techniques (e.g., filtration, pipetting, preparation of solutions
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in learning how the scientific process is used to solve agricultural problems caused by insect pests. Our respective research programs are focused on using cutting-edge techniques to better understand
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field environment, and will be involved in creating experimental designs and treatments, collecting experimental data, and analyzing and interpreting results. Learning Objectives: Under the guidance of a
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will develop research treatments and fully collaborate on research during the course of their postdoc program. The postdoc will statistically analyze data with the guidance of his/her mentor. Learning
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suitable micro-climate conditions. Learning Objectives: Under the guidance of one or more mentors, candidates will analyze raw acoustic data (i.e., soundscape) to identify and isolate the presence/absence
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of insects. The current project is designed to determine the effect of insect inclusion on food safety and to capitalize on the natural bioremediation capacity of insects. Learning Objectives: The successful