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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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We are looking for highly motivated early-career postdoctoral scientists willing to conduct independent research in computational biology at Nantes University in France. Nantes University has
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openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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scenario for the application case, involving human and robot collaboration for operating the machine o Program the CNC machine and the robot for the scenario and connect them to the platform o
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Theory Algebraic Geometry Arithmetic Geometry Derived Categories Langlands Program Geometric Representation Theory In addition, relevant teaching experience is expected, and the successful candidate will
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existing literature to address this gap. The student tasks will be to prepare the registration documents (e.g., PROSPERO), refine and test the search algorithm in relevant databases, import search results
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at the Assistant Professor (Tenure Track) level to build a research program that advances AI-driven translational research in fibrosis and cancer. The successful candidate will establish an innovative research
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision