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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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(e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research. Additionally, the candidate should have experience applying artificial intelligence methods for data analysis
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expected to start on 2025-09-01 or according to agreement. Application deadline is June 3rd, 2025. Description of the project Half of the world's population is estimated to be infected with the gastric
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Infrastructure Engineering. Undergraduate and graduate degrees (Master and PhD) are offered in civil & environmental engineering, computer engineering, electrical and electronic engineering, and mechanical
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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your scientific career? Then we like to get you on board! Your research will focus on developing methods and tools to utilise the scientific potential of the next level of Earth Observation data (i.e
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(16): E934-43; Nature Genetics, 2012 Jan; 18;44(1):94-100; Nature, 2011 Dec 14;480 (7378):490-5. You will Lead research on gene regulatory mechanisms Employ state-of-the-art methods in epigenetics and
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
methods to directly probe the phase behavior, i.e., the number and types of phases, in individual aerosol particles, and to explore how it affects their ability to form clouds. The project will focus
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which