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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
geometric transformer model to predict protein binding interfaces in flexible and disordered regions. Cell Systems, 10.1016/j.cels.2025.101454 The PhD candidate will: Curate and analyze large-scale datasets
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processes into interactive exchanges that empower citizens to understand, challenge, and influence outcomes in real-world domains such as healthcare and mobility Where to apply Website https
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of teaching methodology (conferences, publications, third-party funded projects) Supervision of students, student counseling and administration of student mobility Participation in the conception of new
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Description Hearing, balance, and vision are essential for communication, mobility, and social integration, yet curative treatments remain unavailable for most inherited sensory disorders. Among these, Usher
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solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. Your responsibilities As a Staff Scientist, you will provide advanced scientific, technical, and
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development are particularly important to us. Our mobile work model allows you to work in Finland in the location most appropriate for your work. In addition, we provide flexible hours, and as your employment
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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their anticancer and neuroprotective activities in human cell-based assays. Generate SAR data linking specific enzymatic modifications to pharmacological properties. This PhD project offers extensive research
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. Ability to stand or sit for extended periods of time in low-light settings. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department
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mechanisms that underlie the first steps of cell dissemination from the primary tumour. This will involve developing methods to live image tumour cell dissemination from primary tumours, and out of a complex