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experience Starting research package of EUR 30,000 Applicants will be encouraged to apply for complementary external funding (e.g., MSCA or EMBO fellowships) in parallel to/following their recruitment process
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ecomorphological outcomes significantly parallel. As a next step, it is vital to dig more deeply into the molecular mechanisms driving these patterns. This project will examine replicate divergences into specialist
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massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding
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1-2 representative publications. Experience with mice, human genetics, genomics, molecular biology, AAV/surgery, bioinformatics are a plus, but we also are willing to train for those candidates with
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, bioinformatics, and biomechanical systems engineering. The successful applicant will utilize clinical research studies using MRI and Electrophysiological tools, signal and imaging processing, and statistical
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab and
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contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes in nematodes. Much of our
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translational bioinformatics platforms to support the mission of precision medicine. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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to Reason (Inactive), Analytical Thinking, Big Data Processing, Bioinformatics, Communication, Complex Data Analysis, Data Management, Group Problem Solving, Laboratory Processes, Probabilistic Modeling