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or reinforcement learning Interest in (or willingness to learn) plant physiology, genomics and process-based modelling; any prior exposure to crop or ecological models is a plus Proven ability to work independently
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semester Application deadline Applications may be submitted at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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with the planned PhD enrolment. Each application must include the following material: Curriculum vitae setting out the educational qualifications as well as any additional scientific achievements and
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academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 11 days ago
help you with any questions you may have regarding your arrival in the Rostock region. We also offer our employees an additional company pension (VBL), 30 days annual leave, flexible working hours and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk
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as well as any additional scientific achievements and publications. The CV must clearly indicate the applicant’s vitae name, surname, gender, date of birth, nationality, country of residence in
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well as any additional scientific achievements and publications. The CV must clearly indicate the applicant’s vitae name, surname, gender, date of birth, nationality, country of residence in the last three
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that they will comply with the planned PhD enrolment. HOW TO APPLY Each application must include the following material: Curriculum vitae setting out the educational qualifications as well as any additional
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs