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Field
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will
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of genomic data using bioinformatics protocols is advantageous. BENEFITS: • 5 weeks of paid holiday yearly, subsidized lunches in our own canteen • Pension insurance contribution, support of leisure sport
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to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 18 days ago
Infrastructure? No Offer Description IMol has been established to conduct scientific research and provide training in the fields of biological, chemical, medical, biotechnological, bioinformatics, biophysical
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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population genetics, comparative genomics and/or the analysis of genomic data using bioinformatics protocols is advantageous. Additional Information Benefits • 5 weeks of paid holiday yearly, subsidized
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clinical management. We are seeking a non-clinical PhD candidate with high-level bioinformatics skills to join our internationally renowned, multi-disciplinary team in Newcastle. This position provides
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and