21 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"U"-"FEMTO-ST" positions at Nature Careers in Belgium
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challenge. We welcome applications from candidates who have the potential to set up an innovative and internationally oriented research program aimed at elucidating the role and directing the use of microbes
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), investigates the development and evolution of the human brain, with a focus on human-specific genetic programs, synaptic neoteny, and neurodevelopmental disorders. The labs are located at NERF and VIB-KU Leuven
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demonstrated research under review or published in well-ranked conferences and journals Research experience with blockchain and Web-3 data (e.g., Ethereum, Solana, Bitcoin, DeFi protocols) Strong programming
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an internationally recognized research programme focused on manufacturing process automation, and will be required to conduct research with high impact in their chosen fields in the following research areas: Smart
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in Computer Science Experience in dependable systems, real-time and
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by Dr. Pierre Vanderhaeghen (Professor at KU Leuven; Principal Investigator at VIB), investigates the development and evolution of the human brain, with a focus on human-specific genetic programs
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will have access to state-of-the-art infrastructure and services, as well as a broad range of training and leadership programs designed to expand your skills and expertise. Excellent grant-writing
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from omics data, proficiency with computational programming (e.g. R language/Python), analysis of publicly available cancer genetic expression datasets, and skills in application of statistical