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these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how these structural variants arise and which recurring structures
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of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Chemistry seeks a postdoc on biochemistry and molecular biology. The employment is full-time
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Engineering or other relevant field is required. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. The position requires
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and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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criteria, and should be shown through scientific publications/doctoral dissertation. Knowledge and experience of development within model reduction or machine learning. Ability to work both independently
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such as epidemiology, biostatistics, computer science, statistics, etc. We will also consider those with PhDs in other areas but who have advanced/relevant data science skills (e.g., machine learning
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well as Hi-C and transcriptome sequencing. You will use these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how