Manna Van Het Slot

  
Manna Van Het Slot Average ratng: 4,9/5 2937 votes
  1. Manna Van Het Slot Loo
  2. Manna Van Het Slot Car Bodies
  3. Manna Van Het Slot Spel
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Manna Van Het Slot Loo

Manna Slot biedt een 3 of 4-daagse basistraining en een 5-daagse verdiepingstraining Veiligheidsplanning. Daarnaast zijn er meerdere verdiepingsdagen. Voor uitgebreide informatie over de verdiepingsthema’s downloadt u de hier de uitgebreide beschrijving. Uiteraard kan er voor elke organisatie een training op maat gegeven worden. MANNA 1 24-28 September: Openingsweek. Tot slot wensen we iedereen een. De doop, de mooiste periode van het jaar. Nu ja, zeker voor de reeds gedoopten.

Manna Van Het Slot Car Bodies

Country: The Netherlands
Languages: English, Dutch, German

Manna Van Het Slot Spel

Manna van 't Slot studied Child Psychology and has worked since 2008 as a supervisor at Bureau Jeugdzorg Drenthe, spending several years with the Referral and Assessment Team and several years with Long Term Child Protection Teams.
Manna has provided training in the Signs of Safety approach to workers, supervisors, and managers throughout The Netherlands and German speaking countries, as well as internationally. She has worked intensely with Andrew Turnell and knows the Signs of Safety approach inside out. Equally important is the fact that she is an enthusiastic leader and supervisor of front-line child protection workers. Manna has presented on this subject at several Signs of Safety Gatherings.
Effective child protection practice is grounded in practitioners who can think through cases systematically and with depth — this happens most consistently where people work in strong teams, and such teams require strong leadership and structured individual and group supervision. Leadership, supervision and teamwork in using Signs of Safety as a parallel process is Manna's specialty. Manna wants people to understand the processes, ideas, and attitudes behind the Tools of Signs of Safety, so people can integrate them in their own system and thrive towards structural whole system learning.