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maintaining contacts with colleagues who can provide expertise and support in the analysis and interpretation of research findings. Qualifications Requirements for employment are: PhD-degree in molecular
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, writing articles, supervising M.Sc and possibly PhD students as well as contributing to teaching in the Master's Programme in Particle Physics and Astrophysical Sciences. The candidate should have: A good
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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Specification Essential Criteria: Qualifications A good first degree in Chemistry. A PhD (or be close to submission) in a relevant area of physical chemistry or chemical physics. Experience Experience in
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Physics, Optical engineering, or a closely related field (award received or thesis submitted and
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PhD degree in ecology or similar subjects Relevant background in research in ecology or related fields of research Excellent communication skills both written and oral English The appointment is to be
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capabilities. Experimental design, laboratory execution, data analysis, and statistical quality control. Required Education PhD Degree in Biochemistry, Molecular Biology, Molecular Genetics, or closely related
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. Explore the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator . Lastly, click here for more information about why Fort
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, analyzing the data on dynamics in individual behaviors. Successful applicants must have a PhD in computer science, digital technology, mathematics, or related fields with demonstrated experience in developing
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. Qualifications: PhD in Microbiology, Molecular Biology, or a related field by the time of hire is required, along with a strong background in theoretical and practical experience within the fields of microbiology