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developing relevant data analysis techniques and software, as well as conducting Monte Carlo simulations of detector responses using the GEANT4 framework. The candidate will be strongly encouraged to actively
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physical process, especially those involving scale formation (nucleationgrowth of minerals). A geo-scientific knowledge, preferably within stratigraphy and/or geochemistry will be an asset. Qualification
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on chemical and physical process, especially those involving scale formation (nucleationgrowth of minerals). A geo-scientific knowledge, preferably within stratigraphy and/or geochemistry will be an asset
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, Oslo. Job description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable
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inference, selection scans, and gene-environment and gene-phenotype association studies. • Plan and conduct fieldwork to collect plant material across Arctic locations, and manage sample processing
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processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine
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and personal skills to carry out the project. The hiring process will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal
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manage sample processing for sequencing and phenotyping. • Design and execute common garden experiments to assess phenotypic plasticity and local adaptation. • Analyze and interpret high-throughput
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. They typically contain a combination of numerical, categorical, and textual data, and are often multilingual. DPPs are still evolving, facing challenges in data processing, handling missing or redundant data, and