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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives...
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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. Demonstrated scientific expertise in immunogenomics, antigen discovery, and machine learning/AI applications in biomedical research. Strong proficiency in the analysis of next-generation sequencing (NGS) data
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research and into industry. Further information can be found at dktk.dkfz.de . The DKTK partner site Berlin is located at Charité – Universitätsmedizin Berlin and closely aligned with the Berlin Institute
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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model of immune tolerance, effectively inducing temporary remission in autoimmune conditions like multiple sclerosis. Our goal is to "learn pregnancy’s code" to understand these natural protective
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biochemistry, molecular genetics, biological materials, or related fields Applicants with strong research experience in transcriptome sequencing and analysis will be preferred. Prior experience in electron
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sequencing, enabling integrative analysis of spatial gene expression, tissue architecture, and genomic alterations at early stages of lung carcinogenesis. Your Tasks Scientific & Computational Responsibilities
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instrumentation (single-cell mass spectrometry, high-resolution microscopy, next-generation sequencing) and artificial intelligence-guided computational workflows. Job Description Develop computational image
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of the sequence of events around the time of the Great Oxidation Event, Link model results to proxy data, in particular from the GOE-DEEP cores, present the results at international conferences and publish them in