35 phd-position-in-data-modeling-"UCL"-"UCL" positions at University of Copenhagen in Denmark
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the development of fault-tolerant quantum computing hardware and quantum algorithms that solve important problems in the life-sciences. NQCP is looking for a motivated postdoc to work with modelling biological
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Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 31 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Mar
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are: The grade point average achieved Professional qualifications relevant to the PhD project Previous publications Relevant work experience Other professional activities A curious mind-set with a strong interest
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) Positions PhD Positions Country Denmark Application Deadline 13 Oct 2025 - 12:00 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through
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. one page) Your motivation for applying for the specific PhD project Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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pipelines, as well as processing and analysis of different data modalities. You will have the opportunity to develop data science methodologies. The position involves interdisciplinary research through
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usage of drugs. We aim to rapidly evolve and integrate data and modelling heavy research into the pharmaceutical education contributing to progressing the cultures and mindsets of people and organizations
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diplomacy in the 20th (and 21st) century. Experience in working with IO-archives and proficiency in reading and writing in English and French is a distinct positive. The PhD will focus on: The employees who
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic