10 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL;" Postdoctoral positions in Belgium
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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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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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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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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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Researcher to support research and development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial
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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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visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The candidate will be funded through a Research, Development, and Innovation (RDI) project with a leading energy
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programming skills, preferably in Python, experience with JAX is a plus; You have experience with simulation-based or quantitative research; You have the ability to work independently and as part of a
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element software (preferably ABAQUS) and you have programming skills (preferably in Matlab, Python or C++); You are a person showing the necessary reliability, autonomy and initiative; Your former
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, clinical data, epidemiological data, or other real-world health datasets; strong programming skills, preferably in Python, and practical experience with relevant data-analysis and machine-learning