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. to III.2.5., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital
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delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier of the publications
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points III.2.3. to III.2.5., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate
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for public sector employees. 7. Contract type 7.1. The successful candidate will be hired on an employment contract under a fixed-term regime of indefinite duration, as required by law, pursuant to point (b
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the exercise of my powers, pursuant to the provisions of Article 92, in point d), number 1 of Law No. 62/2007 of 10 September and Article 30, in point j), number 1 of the UTAD Statutes, approved in the annex
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scientific and professional curriculum in the scientific area of this competition and who reveal a profile suitable for the activities to be developed, in accordance with the description in point 8
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will be carried out using the following formula: Total: 0,45×A+0,40×B+0,15×C where: A is the classification between 0 and 5 obtained in point a) above. B is the classification between 0 and 5 obtained in
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Qualifications · PhD in Astrophysics, Radio Astronomy, Space Physics, or a related field. · Experience with solar radio observations, space weather, or signal processing. · Strong programming skills in Python
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to the competition. in accordance with point 8 of this Notice. 3.2. Special admission requirements: For the purpose of determining the appropriate profile for the activity to be developed, the following are special
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, considering discrete modulation; Contribute to the implementation of digital signal processing algorithms in a FPGA platform; Contribute to the implementation of information reconciliation algorithms in a GPU