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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
expect the candidate to meet the following requirements: A strong background in animal nutrition and physiology. Expertise in analytical techniques for evaluating immune and inflammatory markers, such as
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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optimization strategies. Strong hands-on experience with experimental laboratory research and process development. Proven competence in analytical and characterization techniques such as NMR, Raman spectroscopy
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treatment conditions. Development of analytical methods for the analyses of PFAS and their degradation products. Disseminating project results through scientific publications and conference presentations
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processes Insight into processes controlling phosphorus availability Experience with soil phosphorus fractionation techniques, nutrient leaching assessments, sorption isotherm studies or related analytical
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water balance with data analytics to understand how variations in connectivity influence hydrograph characteristics, e.g. flood peaks and drought recession. A key objective is to identify and predict
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analytical thinking and attention to experimental quality; proactive problem-solving mindset; committed to collegiality, good laboratory practice, and a constructive team culture. Who we are The Department
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study