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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
candidate who has A PhD in plant science, agroecology, microbiology, environmental sciences, molecular/chemical ecology, or similar Collaborative skills and ability to demonstrate commitment in teams
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high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in biology, ecology, plant physiology or similar Collaborative skills and ability
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candidate who has A PhD in microbial ecology, environmental microbiology or similar Research experience in molecular biology, metagenomics and biogeochemistry Collaborative skills and ability to demonstrate
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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contribute to overall optimization minimizing CO2 emissions and overall cost.’ Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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be in close collaboration with our EUROfusion partners under the supervision of Xuping Zhang. Your profile Applicants should hold a PhD in Robotics with good experiences in dynamics and control
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. About the project The LoCiS project investigates the rich but understudied local portrait cultures of ancient Western Asia with the aim of determining how they reflect local and regional entanglements
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT