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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Public selection procedure pursuant
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Public selection procedure pursuant
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: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process Comparative evaluation procedure based on qualifications and interview Additional comments Contact email
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metasurFAceS: a new fronTier in analog signal processing Where to apply E-mail [email protected] Requirements Additional Information Eligibility criteria Eligible destination country/ies
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9 Jul 2026 Job Information Organisation/Company Università degli Studi di MESSINA Research Field Pharmacological sciences » Clinical pharmacology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 7...
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Selection procedure, based on qualifications and interview, is hereby announced
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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, which investigates how seasonal adaptation reshapes sensory processing and behaviour in the invasive fruit fly Drosophila suzukii. The project combines functional calcium imaging, behavioural experiments
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Science Research unit: https://genomics.iit.it/ ESSENTIAL REQUIREMENTS PhD in computational biology, machine learning, bioinformatics, physics or related fields; High proficiency level in programming
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches