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and infection diseases. You will also have the opportunity to collaborate with exceptional clinicians and scientists across multiple projects and institutions. Qualifications: PhD and/or MD/PhD degree
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Cell (2016), Cancer Discovery (2024), and Nature Cancer (2021). Importantly, several of our discoveries have translated into large-scale clinical trials. Essential requirements PhD in cancer biology
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, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs. Responsibilities: Design, development, and demonstration of novel strategies and methodologies
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
presenting advances and results to Open Targets meetings and Integration days. Job requirements Essential requirements Hands-on experience in data science, preferably life sciences or medicine. A PhD degree
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of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase the ability to conduct independent research while demonstrating
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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to teaching or other training activities (if applicable) Criteria of the candidate: PhD in the field of plant-microbe interac ons, industrial microbiology, crop physiology or related fields. Strong publica
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postdoctoral fellow, you will join a dynamic research environment focused on systems biology in infection and vaccination. Under the mentorship of Dr. Joann Arce, PhD, Assistant Professor in Pediatrics at HMS
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 8 days ago
. Neurodegenerative diseases are complex and multifaceted. The overarching goal of the project is to develop advanced statistical models and deep architectures that can contribute to improved ability to diagnose
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)automated data processing and a collaborative workspace. Eligibility requirements: PhD or equivalent degree in Computer Science, Physics, Life Sciences, or related field. Strong background in developing AI