131 data-"https:"-"https:"-"https:"-"https:"-"BioData" Postdoctoral positions at Nature Careers
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details of two referees to kaspar.valgepea@ut.ee by January 11, 2026 • Preferred start date: February 2026 • Work location: Institute of Bioengineering, Nooruse 1, Tartu For more information, contact group
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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to join a collaborative, diverse, and creative research team. Experience in molecular biology, data analysis, and animal experiments is an advantage. The successful candidate will apply molecular and
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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. Support for fellowship applications and professional development. To Apply Applicants should send (1) a CV with contact information for 2-3 references and (2) a cover letter describing their interest in
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area of expertise. Collaboration will involve joint problem-solving, the integration of data streams, and the development of decision-support tools to inform large-scale restoration policy. Your profile
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contractual term is a maximum of 3 months Upload your detailed CV with a list of publications, certificates and references Submit information on the scientific concept and work plans for the requested time
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
response to therapies, with applications in brain tumours and neuro-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical
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and medical image analysis. The interdisciplinary and collaborative research environment at the DKFZ also results in excellent opportunities for computational and data scientists with interest in