17 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"GUSTAVE-ROUSSY" Postdoctoral positions in Belgium
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group led by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila
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Spectrometry knowledge and techniques (can be trained in lab) Interested applicants must apply through https://slu.wd5.myworkdayjobs.com/Careers . Please also send a PDF file including a personal statement
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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full-time (100%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE ( https
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: We are seeking a full-time postdoctoral researcher to join an interdisciplinary research team working at the intersection of artificial intelligence, biomedical data science, digital health
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functional genes using qPCR. Develop AI-driven bioinformatics pipeline and analyze multi-omics data. Perform soil sampling and experiment design. Measure soil properties—soil pH, moisture content
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biomarkers with predictive value. This post-doctoral position aims at implementing metabolomics/lipidomics to detect molecular fingerprints by using untargeted and targeted metabolomics and big data mining