156 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"PDI-Service" PhD positions in Sweden
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simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
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and programming in Python Be proficient in English (spoken and written) Be willing to learn Swedish within two years if not already proficient (courses are offered at Chalmers). Contract terms Full-time
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Master’s degree (or a 4-year Bachelor's degree for international applicants) in marine science, environmental science, or a related field Strong written and verbal communication skills in English Meritorious
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Structures and the BioGlue Centre are based. The departments work closely with neighboring units to foster a creative environment, offering challenging educational programs and cutting-edge research. Research
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interdisciplinary research environment, the ability to collaborate and contribute to teamwork, and a very good command of the English language is important. More information The PhD programme is four years. However
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modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data is an advantage. The candidate should have a
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, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data