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of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass. Candidates should hold a PhD degree with professional experience in biotechnology, process
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activities of the Research Group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in
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have a PhD in astronomy, astrophysics, physics, or a closely related field. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment
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VHIR”: VHIR’s wellbeing programme offers a variety of activities to help staff thrive—physically, mentally, and socially. Through four pillars—Feel Well, Feel Connected, Feel Empowered, Feel Welcomed—it
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/supervision). To engage in the wider research and scholarly activities of the Centre, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and
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provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting
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development and perform moderate teaching duties. Applicants are required to hold a PhD in physics or an equivalent doctoral degree. Applicants should provide a curriculum vitae, a list of publications, a brief
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is expected to have: § PhD in Physics § Has the capacity to Lead and to guide PhD students and engineers § Proficiency in the English language and good communication skills § Experience in data