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In my model: Gender=Male, school =education, position =lecturer (ref categories)

Model: Score (y) =4.215 + 0.646(logcitations) + 0.299(female) + 1.457 (Seniorlecturer) + 1.804 (AssProf) + 2.620 (FullProf) + 0.97 (sch-business) -0.427(sch-ENg) - 1.406 (schMed) -0.196 (sch-law) - 0.172 (femaleSeniorLecturer) - 0.367 (femaleAssProf) - 0.270 (Female*FullProf).

How do I interpret the interaction so that I can report predicted gender difference in score by position? I am completely lost as a beginner

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