415 web-programmer-developer-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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family, mortality and health, migration, or population analysis and human capital. The candidate should present a clear personal work plan for the six-year role. The position involves teaching in English
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to support the department and wider discipline. • To engage in continuing professional development by participation in the undergraduate or postgraduate teaching programmes or by membership of departmental
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities
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fixed term contract for 36 months. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career
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specific domain (online and/or in-lab), ideally complemented by research experience in industry and familiarity with experimental data from economics and psychology. You will be confident developing multi
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fixed term contract for 36 months. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career
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bacteriophage. Main activities will include: Development of a straightforward and inexpensive Mycobacterium tuberculosis (Mtb) lysis solution, comprising pore-forming short cationic peptides and a
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manufacturer. Based on our publication (ACS Appl Nano Matter 2022, 10.1021/acsanm.2c03406) and our ongoing collaborative work, we have developed a new chemical assay coupled with a machine learning algorithm to