178 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Finland
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of solar energy systems, applying machine learning methods, and data analysis. A background can be in materials engineering, physics, electrical engineering, computer science, or another suitable field. In
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. The university lecturer must have the readiness to acquire research funding. The appointee must have an interest to work in a multilingual and multicultural working environment and in crossdisciplinary groups and
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
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, interests, and strengths, offering a flexible and rewarding research environment. Our expectations of the applicant A solid background in remote sensing Strong computer and software skills, including
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cooperation in a multidisciplinary environment Pedagogical studies, merits and experience Merits in supervising Bachelor’s, Master’s and doctoral students Proficiency in Finnish or strong motivation to learn
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to align with your strengths and preferences. Our expectations of the applicant We are seeking candidates with: • A strong background in remote sensing • Excellent computer and software skills (e.g
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, military service etc.) Excellent/good skills in spoken and written English. English is used as the language of instruction and supervision in this position. Expectations A formal background in bioinformatics
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) to study talk and interaction in multinational crisis management training. The studied situations involve military and civilian personnel who are trained to participate in international peace-keeping and
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net period of time, which does not include parental leaves, military service etc.) good skills in spoken and written English motivation for research work in aerosol physics or chemistry. Please note
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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive