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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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University (junior and senior students are preferred) Good academic standing (GPA above 3.3). Preferred Experience Strong programming skills, preferably in Python, C, or C++, or a willingness to learn these
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
(Python and/or comparable) Genuine interest in both molecular dynamics/structural biology and ML/AI – we care more about curiosity and drive to bridge these fields than a perfect-fit CV Good command
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
++, CUDA, Python, and PyTorch LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual
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proficiency in spoken and written English are essential. Experience with programming languages such as Python or MATLAB is highly desirable. Prior experience with MRI data acquisition or analysis and
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methods Data analysis, and programming (Python) Experimental membrane biophysics What We Offer: 4-year fixed-term contract (1 + 3 years, 75% FTE, ~39 k€ gross/year, benefits, paid leave) State-of-the-art
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programming languages and relevant bioinformatic tools (e.g., R, Python, Bash or equivalents); The development of activities in science communication and dissemination of scientific results; Interest and
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
(e.g. Python, Matlab, C++) are essential; experience with version control (Git) is desirable Willingness to supervise students (Bachelor’s and Master’s theses) Strong initiative and a passion for
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(preferably in Python, including deep learning frameworks such as PyTorch); affinity with medical image analysis and computational modeling; experience with neural networks for image analysis, generative
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python