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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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a strong computational focus. Applicants with interdisciplinary degrees are welcome. Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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Computational Biology group leads the computational biology efforts to characterize multi-omics sequencing datasets that describe the genetic changes that occur across breast cancer. This characterization is done
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of the Science and Technology Foundation, I.P: https://dre.pt/application/conteudo/127238533 ; Regulation of Research Scholarships of the Portuguese Catholic University: http://www.porto.ucp.pt//sites/default
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Technology (FCT, I.P.), under the following conditions: Scientific Area: Biological Sciences Recipient category: Candidates holding a Master degree in Biological Sciences or associated areas, enrolled in non
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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for this opportunity. Qualifications The qualified candidate should be currently pursuing or have received a doctoral degree in the one of the relevant fields (e.g. Genetics, Plant Pathology or Plant Physiology, or a
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, genetics, molecular biology, microbiology, environmental microbiology, medical microbiology and immunology. The Postdoctoral Fellow will use engineered proteins for the synthesis and characterisation of rare
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antibody-based approach to intervene the malignancies 3) Identification of novel therapeutic target using high-throughput CRISPR genetic screen (e.g., metabolic pathway, mitochondria structure) in immune