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The postdoctoral researcher will join the Deep Transition Lab team, which is responsible for Work Package 3 (WP3) on identifying and evaluating actionable transition pathways. The team is led by Prof. Dr. Johan
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% – Agricultural Data Analytics, Machine Learning, and Remote Sensing Develop, evaluate, and implement machine learning and data analytics approaches for quantifying crop phenotypic and agronomic traits. Process and
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research studies under the direction of the principal investigator. Plans, directs, and conducts specialized and advanced research experiments. Evaluates and analyzes data. Establishes new research protocols
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experiments. Evaluates and analyzes data. Establishes new research protocols and procedures. Summarizes research findings and publish results in research journals. Minimum Qualifications MD or Ph.D. in Basic
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
students • Participation in evaluation activities • General administrative and organisational duties Where to apply E-mail [email protected] Requirements Research FieldMedical sciences
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
platform and the evaluation of the efficacy against Marek's disease and targeted poultry disease. You will construct the recombinant Marek's disease virus that expresses the foreign antigens. You will learn
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biology assays on rare bone marrow-derived hematopoietic populations. Specific duties include: Key Responsibilities : Responsible for conducting a pre-clinical evaluation of cell therapy approaches in
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Researcher or Postdoc in immunology, based at the Department of Immunology and Transfusion medicine, Institute of Clinical Medicine. The research aim for the position is related to preclinical evaluation
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associated with shellfish culture. Responsibilities will include management of a breeding program for hard clams, and independent research evaluating the environmental stressors influencing shellfish
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the validity of data-processing workflows, evaluate effective tutoring moves using the MTM dataset, and share innovations and best practices for analyzing tutoring data at scale. NTO research encompasses (but is