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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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Experience with CRISPR/Cas9 or other gene-editing technologies Experience with RNA sequencing or single-cell transcriptomics Basic programming skills (e.g., R or Python) for biological data analysis We seek a
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conducive to scientific qualification and provides the opportunity for further academic development. Where to apply Website https://uni-bielefeld.hr4you.org/job/view/4748/research-position-phd-student-m
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, deep learning, and statistical modeling Strong programming skills (e.g., Python, R, TensorFlow/PyTorch) Experience handling large-scale ecological, biological, or remote sensing datasets Strong
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conducting experiments, programming experimental tasks in platforms such as oTree, analysing experimental data using statistical and econometric software (e.g., Python, R, Stata), and reporting experimental