32 parallel-computing-numerical-methods-"Prof" positions at Erasmus University Rotterdam
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orientation on societal collaboration and impact. In addition to your research work (40%), you will be participating in educational activities (60%): teaching in the Bachelor’s program Psychology and/or
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consortium funded through the European Union’s Horizon program. Employment conditions and benefits We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working
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& Technology, Data Law & Governance, LGBTQ+ Rights, Anti-Discrimination Law, EU Internal Market Law, Digitalisation. Co-supervisor: Dr. Masuma Shahid, supervisor: Prof. René Repasi Job requirements We
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concentration in specialized clinics with access innovative treatments and technologies, such as (hybrid) surgical equipment, cell therapies, AI-driven methods, and advanced genomics. The project will focus
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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to the project. Job requirements A Master’s degree (or equivalent experience) in computational social sciences. Strong background in computational social sciences methods, particularly agent-based modeling (ABM
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, biostatistics, or similar, preferably with experience in cost-effectiveness research and health-economic modelling. The candidate should have demonstrable skills in qualitative research methods, economic
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remains high. In this project, we aim to test whether a novel approach can effectively prevent relapse in a fear conditioning model. Research method In a human fear conditioning learning model, this project
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this with demonstrable knowledge on this topic (e.g., study assignments, MA thesis); Firm basis in and ideally experience with qualitative research methods and data analysis, in particular: shadowing
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European cities, and can ideally prove this with demonstrable knowledge on this topic (e.g., study assignments, MA thesis); Firm basis in and ideally experience with qualitative research methods and data