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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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, and translational grant proposals. Engage with industry and clinical partners to shape the roadmap for productization and deployment. Preferred Qualifications PhD in Electrical Engineering
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an approach rooted in physical science and the emerging field of digital molecular analytics. Key Responsibilities: Lead and execute research on hybrid photonic materials including rare-earth-doped systems
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: PhD in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics, or related
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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materials. Preferred Qualifications Ability to participate in occasional fieldwork. Expertise in using computational tools to interpret geochemical results. Physical Demands/Working Conditions Working
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics