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Welcome to Maastricht University! This vacancy represents an exciting opportunity for ambitious individuals to join the computational group led by Aurélie Carlier as part of the DRIVE-RM program. The PhD
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are seeking a dedicated PhD-candidate to join our ambitious but collaborative team. Join us in unlocking the secrets of signal integration in plants! Plants must cope with a wide diversity of stresses such as
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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present research findings to scientific audiences and stakeholders. Contribute to the acquisition of new projects and research funding. Supervising a PhD student in the European Consortium CryoStore. Your
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, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. Our people and our focus on collaboration in a caring
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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contract. Eligible candidates must have a master’s degree relevant to the chosen position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project
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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
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PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40