106 computer-science-programming-languages-"Prof"-"Fraunhofer-Gesellschaft" Fellowship research jobs
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Details Title Postdoctoral Fellowship in Computer Science - Programming Languages and Artificial Intelligence School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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projects. Additional Qualifications: Interest in applying programming language theory to chemistry, biology, and precision medicine. Contact Information: Prof. Nada Amin Harvard John A. Paulson School of
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computational statistics or machine learning is optional but highly relevant) ● Proficiency in programming languages (R, Python, C++, Java or Julia). ● Experience with mathematical and statistical methods applied
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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experience in handling semiconductor wafer development Skillful in semiconductor processing techniques. Possesses good skill in programming languages, some background in device modelling is a plus. Competent
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, Molecular Biology or related field. At least 2 years of relevant experience in microbiome bioinformatics role with hands-on expertise in metagenomic data analysis. Strong proficiency in programming languages
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-time Hours Per Week 37.5 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days ago
Porto. 4. Admission requirements: Enrolled, or about to enrol, in a study programme (doctoral programme, preferably in Mechanical Engineering or Bioengineering), whether or not leading to an academic
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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highly accurate and efficient computational model by integrating the newly developed approaches into the numerical program developed in the ‘OceanCoupling ’ project. We would like the successful applicant