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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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hiring date is as early as December 1, 2025, but can be anytime in 2026. The PhD student is expected to develop and apply statistical methodology for causal inference in observational and experimental data
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in catalysis Good language skills *************************************************************************** Application and Assessment Procedure Your application including all attachments must be in
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genetics and archeology. Project description Your task will be to develop new computational methods to study archaic introgression and applying them to the largest dataset of present-day human genomes
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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at www.ppfe.fysik.dtu.dk and about the department at www.fysik.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. We are seeking a Senior Researcher to lead pioneering work in synthetic biology and metabolic engineering, with a particular focus on non-model prokaryotic microorganisms capable of utilizing power
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/education/admission-and-guidance. Applicants must possess skills in written and spoken academic English at a high level. If deemed necessary, the department may request that applicants document their language
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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient