90 security-"https:" "https:" "https:" "https:" "Dr" "U.S" positions at Universidade de Coimbra
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: 857524), and the Operational Program of the Centro Region of Portugal (CCDRC Ref: CENTRO-45-2020-75), in the conditions described below. The full text of the Call is available at https://www.uc.pt/mia
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- Other financial components of the grant: N.A. VI.III - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to
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: N/A VI.III - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts
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security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts for it, as well as mandatory personal accident insurance. VI.IV
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, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts for it, as well as mandatory personal accident
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month): 1359,64€ VI.II - Other financial components of the grant: N.A. VI.III - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months
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transfer at the end of each month): 1040,98 euros VI.II - Other financial components of the grant: N.A. VI.III - In addition to the above amounts, voluntary social security (SSV) is included when the grant
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): 1.359,64€ VI.II - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts
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/A. VI.III - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts
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Santos do Carmo Madeira IV - Work Plan / Goals to be achieved: Federated learning (FL) has emerged as a promising method to address reliability and safety problem by enabling decentralized model training