80 structures "https:" "https:" "https:" "https:" "https:" "EFSA European Food Safety Authority" PhD positions at Nature Careers
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Information about union representatives, see Help for applicants . Application procedure Apply via LiUs webpage for vacancies, https://liu.se/en/work-at-liu/vacancies/28629 . Your application must reach
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
and thus welcomes applications from all qualified candidates regardless of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001
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of publications (applicants applying for the position as senior researcher should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties
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function and structure in vivo and in vitro Apply state-of-the-art methods to analyze synaptic mechanisms and neuronal structure REQUIREMENTS: Above-average Master’s degree in a relevant field Strong
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains