Ph D Chemoinformatics - Faculty of Engineering and Interdisciplinary Sciences FEIS, Jamia Hamdard, Delhi

Mode of Learning:

Full Time

Course Level:

Doctoral / PhD Programs

Course Duration:

2 Years
 

Course Description:

Faculty of Engineering and Interdisciplinary Sciences (FEIS), Jamia Hamdard, Delhi is offering Doctor of Philosophy (PhD Chemoinformatics). In this section, learn about the Doctor of Philosophy (PhD Chemoinformatics) course at Faculty of Engineering and Interdisciplinary Sciences (FEIS), Jamia Hamdard, Delhi

Faculty of Engineering and Interdisciplinary Sciences (FEIS), Jamia Hamdard, Delhi offers 2 Years Full Time Doctoral / PhD Programs in Ph D Chemoinformatics

 
M.Tech Food Technology (Food Engineering) - Food Technology (Food engineering) is a multidisciplinary field of applied physical sciences which combines science, microbiology, and engineering education for food and related industries. Food engineering includes, but is not limited to, the application of agricultural engineering,mechanical engineering and chemical engineering principles to food materials.
Duration: 2 Years    Learning Mode: Full Time    Course Level: Masters Degree View Details
Ph.D Bioinformatics - Students admitted to the program have to complete a course work followed by breadth and depth examinations apart from the thesis work.Bioinformatics is a branch of biological science which deals with the study of methods for storing, retrieving and analyzing biological data, such asnucleic acid (DNA/RNA) and protein sequence, structure, function, pathways and genetic interactions. It generates new knowledge that is useful in such fields as drug design and development of new software tools to create that knowledge.
Duration: 3 - 5 years    Learning Mode: Full Time    Course Level: Doctoral / PhD Programs View Details
Ph.D Food Process Engineering - The profile of the graduate is composed of knowledge from transfer of heat, substance, and momentum in one-, two- and three-phase systems typical for chemical and food-processing machines and equipment. The graduate is able to generalize the acquired knowledge and to formulate them in an acceptable form, and is capable of evaluating and comparing the acquired knowledge with that from literature and his own experiments.
Duration: 4 Years    Learning Mode: Full Time    Course Level: Doctoral / PhD Programs View Details
 

Note: The above courses are picked automatically by the website for indicative purpose only. However, students are requested to check with the University for the similarity of the course or for any other information in regard to the course.

Syllabus presented on this page is indicative and for general information only. The syllabus / course information listed may not be exhuastive. Students / Visitors are advised to contact the University directly for the official, detailed and accurate Syllabus, Transcripts and other information. List of course names mentioned here is partial and are not comprehensive and the institution would be offering many other courses than those mentioned on this page.

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