16 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions in Belgium
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Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a PhD in machine learning, artificial intelligence, computer
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Description Saint Louis University is a Catholic Jesuit Institution dedicated to student learning, research, health care and service. This Postdoctoral Fellow position is in the medicinal chemistry research
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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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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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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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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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specified in the final advertisement. The position is specifically located at the Life Cycle Sustainability (LCS) group. https://www.en.plan.aau.dk/research/life-cycle-sustainability Qualification
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future job openings.More information can be found here . Department: Department of Computer Science Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic
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expect from you? A PhD in archaeology or computer science/AI, or a related discipline Experience with computing, preferably machine learning; candidates from an archaeological background with a