Objective
Background Unilever is one of the world's leading consumer goods companies with > 250,000 employees. The Unilever Health Institute was established from the Unilever Nutrition Centre which has a long-standing tradition and reputation in nutrition research and communication. The UHI forms the research & development, and knowledge centre for functional foods within Unilever. UHI activities focus on the identification and verification of efficacy of functional food substances with specific health benefits. Research New functional food ingredients with potential health benefits are identified through in vitro screening of a large number of natural compounds, plant extracts or fermentation products. High throughput screening technologies are continuously improved and need to be implemented. The Unilever Health Institute is looking for fellows who are key persons in implementing screening technologies. You will develop screening strategies starting from assay design, selection of natural compounds, automation, and genomics techniques. You will have many discussions with senior scientists at Unilever as well as with scientists outside. We are looking for 3 postdoctoral fellows (24 months each) that will be employed in the following areas:
1 : immunology ,
2: metabolism & absorption,
3: genomics. You have a background in one of the "life sciences" and experience with cellular and/or biochemical work is preferred. You will be trained in many fields such as: involvement in functional food development in an industrial environment, working knowledge on high throughput screening (including assay development, automation, data management), working knowledge of your respective area and the other areas, working knowledge of quality assurance practices. You will enroll in a challenging, multidisciplinary, multinational and multicultural working environment. The project is financed by the European Union.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesgenetics
- social sciencessociologyindustrial relationsautomation
- medical and health sciencesbasic medicineimmunology
- medical and health scienceshealth sciencesnutrition
- engineering and technologyindustrial biotechnologybioprocessing technologiesfermentation
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Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
BUR - Bursaries, grants, fellowshipsCoordinator
3133 AT VLAARDINGEN
Netherlands