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Field
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vibrant research environment involving senior researchers, doctoral students and lecturers. The department offers PhD programmes in Comparative Literature and English, and provides a stimulating work
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computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Work duties The ideal
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning
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chemical and mineralogical analyses (e.g., XRD, SEM, geochemistry). AI and machine learning applications: Develop and apply AI methods to identify patterns and relationships between geophysical parameters
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software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English. Place of employment: Karlskrona
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spatial mass spectrometry. Experience with single-cell omics is also an advantage. Advanced biostatistics and machine learning, such as multivariate analysis, regularization, deep learning, or network
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phenotypes, based on both statistics/machine learning and computational mechanistic modelling. The group specializes in analysing complex OMICs datasets (e.g., transcriptomics, proteomics, microbiota
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statistical techniques, machine learning or artificial intelligence in subject area of the position. Connection of the research to infrastructures which Sweden or the department are already involved in. Terms
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments