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expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health
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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
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part of a collaborative research team with partners from the Norwegian Polar Institute and Alfred Wegener Institute. This position offers opportunities to develop skills in satellite data analysis
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& Research (WUR) and outside our organization. Your qualities you have a MSc/PhD in analytical chemistry, organic chemistry, food chemistry or comparable specialization. Knowledge of instrumental analysis
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
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experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and data management. Familiarity with open science practices (e.g., GitHub, database management) is a plus. You are eager
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(ELF). You will therefore collaborate intensively with international partners for support, and measurement analysis will be an integral part of your job. Your qualities You are an enthusiastic and
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position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify