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devices to control the self-assembly of molecular building blocks and to trigger crystallization processes. Your tasks Design and fabrication of microfluidic devices and/or microreactors Materials
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nanostructured functional materials (PERMINAMAT); 2021 SGR 01085 Opportunity to join an interdisciplinary group focused on the use of organic molecules, incorporated into nano- and micro-structured platforms
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Requirements Experience in Python and Machine Learning Experience in the simulation of physicochemical properties of molecular materials, particularly in molecular magnetism Scientific publications in the field
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications Experience in synthesis of catalytic materials and use of advanced characterization techniques. Experience in heterogenous
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postdoctoral position linked to the characterization of prehistoric lithic raw materials. The ideal applicant will have expertise in the use of multiscalar approaches to the analysis of lithics and proved
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programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc
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related to modelling (e.g. integrated assessment models, stock–flow consistent models, system dynamics, input–output analysis, econometrics, machine learning, material/energy flow analysis, etc.) Motivation
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, provisioning systems, input–output analysis, system dynamics, machine learning, and/or material flow analysis is desirable. Experience with existing ecological macroeconomic models (e.g. PyMedeas, EuroGreen
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local food sharing economies, promote sustainable food sharing and prevent and reduce food waste. Generally, the researcher will support the PI and the rest of the team to achieve the scientific
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these organisms will open up many possibilities ranging from drug discovery (antivirals) to biotechnology (glycoprotein and glycoprocessing enzyme engineering for materials and life sciences). The GLYCO-N network