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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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are exploring which methods are suitable under which conditions to solve combinatorial optimization problems better than purely classical methods. Possible topics for a master's thesis include, for example
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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into ¿human in the loop¿ workflows. This post is available for two years. Keywords: Geometric Deep
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep
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global supply chain logistics. While ML has the potential to transform both applied large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant
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], which states that random neural networks can be pruned to approximate a large class of functions without changing the initial weights. We are also interested in Neural Combinatorial Optimization, where we
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., departmental/institutional shared resources, partner laboratories within area of laboratory research/focus and partner/vendor organizations) to optimize research outcomes. Propose innovative & differentiating
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), created as part of the EU-funded project (Horizon Europe, ERA Chairs). DCB is led by Prof. Marcin Drąg, an internationally recognised expert in chemical biology and in the combinatorial chemistry of
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or according to agreement. Short Introduction We are recruiting a Doctoral Researcher to the project “Systems Pharmacology for Rational Combinatorial Cancer Therapy” in the Systems Pharmacology Jafari Lab