63 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions in Netherlands
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Project Team. As a Research Fellow, you will benefit from the technological development streams devoted to consolidating knowledge of cryogenic LOx-methane propulsion systems through demonstration flight
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. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
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) and ESCH-R (Home - ESCH-R Consortium Opens external ), while also having the intellectual freedom to develop your own research lines. Working in a multidisciplinary environment, you will collaborate
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management and meteorology; develop data driven models of regional greenhouse gas balances for the fen meadow areas of the Netherlands under (emission reduction) management; use the model to simulate
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understood development of crucial importance in the rise of complex societies in West Asia. Recent archaeological research into social inequalities has either used quantitative methods, such as the GINI
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Post-Doctoral Researcher: Exchange Networks and Social Inequalities in Late Prehistoric Cyprus (0.8)
supervised by Professor Bleda Düring (the project leader). The ERC AdG project Inequal Cyprus projects investigates the consolidation of social inequalities – a so far poorly understood development of crucial
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scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a PhD degree in physics (photonics), electrical engineering or a related field? Would you like to be involved in
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and technology studies, psychology, gender studies, anthropology, development studies, conflict studies, game and film studies and humanitarian communication. The position entails both independent and
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, as well as expertise in generating hypotheses on molecular mechanisms derived from omics data. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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and material performance remains unclear, let alone inverse design of these molecules. The goal of this project is to develop ML models for: 1) predicting properties of oligopeptide materials based