508 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD research jobs
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) - Organisation - Autonomy - Interdisciplinary skills Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7252-PIEBON-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD
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/2018 , of August 16th and the Ministerial Order nr. 33/2019 , of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https
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purification processes. • Implementation and operation of online monitoring systems for biological processes using spectroscopic tools 3/7 • Data analysis and development of chemometric models to support process
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out research and development activities and all other scientific and technical activities within the scope of the missions of the respective Organic Unit and U. Porto regularly [Article 7(2
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bioprocess optimization. The successful candidate will contribute to the development of sustainable bioconversion platforms for the transformation of biogas-derived carbon into amino acid-enriched biomass
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/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife
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. Mission You will contribute to the development of monitoring tools for understanding the performance degradations of lithium-ion and sodium-ion batteries. Main activities · Develop an equivalent
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
microscopy for nanoparticle catalysis at the Center for Visualizing Catalytic Processes (VISION). Responsibilities and qualifications You will engage with VISION’s development and application of nanoreactors
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science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more information about
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original