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Field
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, using metabolic energy as the governing design constraint. The student will build on an established energy model for synaptic plasticity to derive theoretically grounded training schedules and will
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activities, and intellectual property support Working Conditions Contract type: Part-time (20 hours/week) Working schedule: Monday to Friday, 10:00–14:00 Workplace: Integrated Manufacturing Building, ULPGC
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hours/week) Working schedule: Monday to Friday, 15:00–19:00 Workplace: Integrated Manufacturing Building, ULPGC (Tafira Campus) Monthly salary: €1,150.13 (according to salary scale) Proposed start date: 1
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Dissemination, communication activities, and participation in project meetings (including travel) Working Conditions Contract type: Full-time (37.5 hours/week) Working schedule: Monday to Friday, 08:00–15:30
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to present research activities. Flexible working environment and schedule. Selection process Interested candidates must send their applications to odriva [at] pa.uc3m.es, indicating in the email subject the
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data engineering, applied analytics, and responsible AI. Position Details Hours: Part-time, 5–20 hours per week (flexible scheduling) Pay: $12/hour Appointment type: Hourly Job Duties Typical
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Sunday, 31st May 2026. The first interviews are scheduled for Monday, 15th June 2026. Additional information form For this position, you must fill in a mandatory form which will allow us to have a
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are not required during this stage and will not be considered. You can apply up to and including May 11th, 2026. The first interviews are scheduled for May 26th 2026. Your prompt response will ensure
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on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as
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(ISRD, Poland) DC10: Design of spectrum pooling coordination schemes for CF-based 6G RANs (ISI, Greece) DC11: AI models for resource scheduling of CF networks (NVIDIA, Denmark) DC12: Design of swarm