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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics
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or structural bioinformatics are not encouraged to apply. The successful candidate(s) will have access to state-of-the-art supercomputing resources in Denmark and Europe. Contact: hkhandel@sdu.dk Application
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://shen.scripps.ufl.edu/ ), has multiple Postdoctoral Research Associate positions available immediately until filled. We are specifically looking for aspiring candidates with experience in (i) bioinformatics, genome
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experience. Applicant Special Instructions: To apply, please submit the following documents to Rui Tang, PhD, Assistant Professor at ruit@wustl.edu . Cover letter expressing your interest and highlighting your
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for engineered probiotics to improve T1D outcomes. The ideal candidate should have a PhD and expertise in immunology, microbiology, or synthetic biology, with a particular focus on microbial-immune system
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks