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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will be responsible for the development of quantum communication devices, systems and
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opportunity for the successful candidates to pursue a career in the field of virology or immunology. Required Qualifications A PhD degree in microbiology, immunology or related field. Strong written and oral communication
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biology, genomics, bioengineering, or related fields. First-author publications in high-quality journals. Strong interest in cellular memory and epigenetics. Excellent oral and written communication skills
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Inverse problems and statistical signal processing Knowledge in optical sensing methods LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelGood Research FieldEngineering » Communication engineeringYears
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communication skills in English. Submit the required documents taking into account the following guidelines: CV: specify any relevant experience together with a detailed description of previous accomplishments
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writing and supervision/mentoring of Master’s/undergraduate students. Communicate and disseminate research results through high-quality scientific channels including high impact scientific publications
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, modelling and simulation of refrigeration components and equipment. Participation in national and international refrigeration and heat pump projects. Publications in journals and communications at conferences
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research problem (learning through research). - Development of leadership skills, improvement of presentation and communication skills. Eligibility criteria - Application submission until 21st September
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crop husbandry and weed management practices. Proficiency in field experiment design, field sampling and data management and analysis. Excellent communication skills to interact with a different range of
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. Communication skills in Spanish and English. Ability to work in a team, with flexibility and adaptability to perform multiple tasks. Experience in the development and application of DFT to complex systems is