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research (including epidemiology) is a requirement. Translational research in nephrology, particularly advanced tissue methods (e.g., omics-related techniques and corresponding bioinformatics), is a
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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished
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. The academic environment possesses expertise in molecular biology, developmental biology, reproductive biology, and bioinformatics. The PhD candidate will be supervised by an interdisciplinary team
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personal qualities: The applicant must hold a master's degree or equivalent in the field of genetic epidemiology, statistical genetics, medical data science, or bioinformatics. have academic training and
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a master's degree or equivalent in the field of genetic epidemiology, statistical genetics, medical data science, or bioinformatics. have academic training and practical experience in data science
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requirements Master’s degree/subject at second degree level (120 credits/ECTS) in pharmacy, biomedicine, bioinformatics or similar. In order to gain admission to the PhD programme at the Faculty of Health
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chemistry, biochemistry, molecular genetics, bioinformatics and advanced technology development. Through their direct association with established medical research centers (NeuroSysMed with a focus on
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of relevant bioinformatics from laboratory work In order to gain admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or better in their master’s thesis
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from molecular lab work to final statistical analyses, including bioinformatics. However, if necessary, we will prioritize applicants with strong expertise in bioinformatics and statistical analyses over
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bioinformatics skills and resources, this project aims to characterize the potential and value of priming kelp immunity to enhance resistance to bio-fouling and pathogens, and to characterize a mechanistic