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"difficult-to-manage" pests and pathogens in fruits and vegetables» short name “NextGenBioPest”, awarded to IMBB, invites applications for one motivated Postdoctoral Researcher Position Info about the project
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to identify objects in our visual environment under the aforementioned EU-funded ERC Research Program. About the lab: Our lab investigates how cortical circuits interact to form transformation-invariant object
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software applications for data modelling, analysis, and visualisation. These applications will explore data acquired using imaging and spectroscopic techniques to provide information on the nature and light
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LanguagesGREEKLevelExcellent Internal Application form(s) needed APPLICATION FORM_2.pdf English (36.6 KB - PDF) Download GDPR_eng_b_2.pdf English (467.53 KB - PDF) Download Additional Information Benefits Project Duration: 9
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-reviewed articles Evaluation criteria Maximum score 1. B.Sc. degree grade (Score points = grade x 1) 10 2. PhD in Biology/Molecular Biology/Biotechnology/Microbiology Yes/no 3. More than 10 years’ experience
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possess fluency in English. Applicants for the post will be selected on the basis of the following criteria: Evaluation criteria Maximum points 1. BSc degree in Biology (Grade x 1 points) 10 2. ΜSc degree
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, Life Sciences, Chemistry or relevant topics (grade * 2 points) 20 2. PhD in Biology, Life Sciences, Chemistry or relevant topics YES/NO 3. More than 3 years’ experience with active research at a top
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journals, and possess fluency in English. Applicants for the post will be selected on the basis of the following criteria: Evaluation criteria Maximum points 1. BSc degree in Biology (Grade x 1 points) 10 2
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, contribute to scientific reports) Publications in the field of entomology Evaluation criteria Maximum score 1. BSc in Biology or Agricultural Science (specialization in Plant Protection) (Score points = grade
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thesis. Proven knowledge of the use of animal models (felasa certification). LanguagesENGLISHLevelExcellent Internal Application form(s) needed APPLICATION FORM_0.pdf English (36.6 KB - PDF) Download