136 algorithm-development "https:" "Simons Foundation" PhD positions at Nature Careers
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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The Laboratory of Cortical Information Processing | Vision to Action at NERF ( www.nerf.be ) invites applications for a PhD student to join a Simons Foundation-funded, collaborative research
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of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tokerstin.achtruth@tu-dresden.de orto: TU Dresden, Chair of Algorithmic and
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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: Developing innovative methods from the field of machine learning for biomedical data, e.g., explainability, interpretability, and causal inference Contributing to the design of novel algorithms and models
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Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets Participate in workflow automation and management using systems such as Snakemake
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. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: • You are involved in a well-funded
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The Bioprocess Science and Engineering (BSE) group at DTU Chemical Engineering is amongst other activities developing novel methods to measure the kinetics and stability of enzymes under industrial
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bioinformatics field. Developing specialized methods for automatic or semi-automatic, possibly visually aided evaluation and model selection of such algorithms. Developing tailored solutions to integrate domain
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using