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Field
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the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC host university, subject to agreement by Aalto University and the host
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exceed five years. Required Qualifications A recently completed PhD in epidemiology, nursing, public health, or a related quantitative discipline. A strong background in applied biostatistics and
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, with the possibility of extension for an additional year. While the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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SD-26086 POSTDOCTORAL RESEARCHER IN THE PHYSICAL VAPOR DEPOSITION OF ELECTROCATALYST FOR PHOTOANO...
physical vapor deposition of transparent oxide thin films and metal alloy thin films for advanced electrocatalytic applications (WP1). Comprehensive characterization methods, including surface analysis (XPS
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SD-26083 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF METAL ORGANIC FRAMEWORKS F...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of metal organic frameworks for energy applications (WP4). Comprehensive characterization methods
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of covalent organic frameworks for energy applications (WP3). Comprehensive characterization methods
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
chemical vapor deposition of unexplored building blocks for the synthesis of functional thin films (WP2). Comprehensive characterization methods, including surface analysis (XPS, Raman, SIMS, HRMS, TEM, FTIR
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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research