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determine the genetic basis of treatment resistance in ovarian carcinoma. Ovarian carcinoma is one of the most lethal cancers; approximately half of patients die within five years after diagnosis. To address
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range of disciplines in plant biology, including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see www.upsc.se). The postdoctoral scholarship
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify an optimal evaluation scheme
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree