13 security-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral research jobs in Morocco
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) environments. Understanding of data privacy, security, and ethical considerations in handling clinical data. Application Process: Interested candidates should submit the following documents in a single PDF: A
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collaborative relationships Strong technical background in at least one of the following areas: Multiple access techniques, interference management, energy efficiency, resource allocation, security against
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securing external funding to support the Animal, Veterinary, and Food Science Research Group research projects. Publishing research findings in high-impact, peer-reviewed veterinary science journals
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industry in Morocco and Africa, including food security, climate change and resource sustainability. In response to these challenges, IST&I in collaboration with national & international partners aims
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
networking ability and organizational skills. Experience in co-supervision and coordination of master/PhD students. Commitment to lab safety and research integrity. Key Responsibilities Conduct original
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of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in
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to interpret and analyze simulation and/or experiment results. Familiarity with safety protocols and quality control measures in the laboratory. Ability to collaborate effectively as part of a research team
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several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims
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communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation