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data (HRMS) used for non-target analysis. The projects aims to develop a combination of supervised and unsupervise machine learning stragaties for pinpointing chemicals that have high toxicity
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credits, or Mandatory requirement for English equivalent to English B/6 Experience in formulating lipid nanoparticles with mRNA via microfluidics Experience in sample preparation and data analysis from
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, among other things, how the production of cement-based materials is affected by electrified processes that reduce carbon dioxide emissions, how trace elements such as rare earth metals are bound in
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LevelMaster Degree or equivalent Skills/Qualifications Merits for employment are: experience and knowledge in organic chemistry, chemical analysis using spectroscopic methods, emulsion polymerisation and
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University Work assignments The work primarily includes functional testing of antibodies through experiments, analysis, and compilation of results. The role also involves cell work and the use of a wide range
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of peptide-nanocellulose hydrogels and the analysis and publication of the scientific results. The following tasks are included in the employment: Peptide design, synthesis and characterization In vitro cell
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the vicinity of perennial snow fields during the growing season. The PhD student will also be responsible for analysis of data from eddy covariance sensors, weather stations, and hydrological installations, as
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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economics with a focus on efficiency and productivity analysis. Those employed as doctoral students will focus on their third-cycle (doctoral) courses and study programmes. As a doctoral student, you will
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the critical analysis of society and culture; (3) an appreciation of contemporary theoretical approaches to REMESO research areas; (4) an appreciation of methodological debates in the social sciences and