Beroepenzoeker

Vind met de beroepenzoeker de beroepen die bij je persoonlijkheid passen of zoek een beroep op trefwoord. Ontdek per beroep hoe groot de kans op robotisering is, welke opleidingen je kunt volgen, wat het gemiddeld salaris is en hoeveel vacatures er zijn. Weet je niet welke persoonlijkheidskenmerken het beste bij je passen? Doe dan eerst de beroepentest.

PERSOONLIJKHEIDSKENMERK 1
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
PERSOONLIJKHEIDSKENMERK 2
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
MAXIMALE OPLEIDINGSNIVEAU
  • 1 - Geen
  • 2 - VMBO
  • 3 - MBO
  • 4 - HBO
  • 5 - Universitair
 

Resultaten voor 3 - MBO

BEROEP
BEROEP EN OPLEIDINGSNIVEAU
VACATURES
23
0
74
3
2
0
0
7
0
1
286
6
0
5
16
16
0
2
22
7
39
253
5
25
20
0
174
147
5
15
17
119
0
188
1
1
29
55
104
2
0
6
32
0
126
0
0
0
0
124
127
127
0
0
49
37
3
6
1651
0
0
0
0
92
0
0
2
0
0
0
0
0
0
0
0
0
4
21
0
0
3
0
2
173
145
0
0
2
15
83
0
124
4
0
5
0
8
26
1
1
1
2
0
115
42
375
315
0
0
0
5
129
8
15
0
55
0
6
0
0
0
0
0
0
0
1
0
0
6
0
5
0
0
0
77
0
8
9
8
0
0
112
94
10
20
672
3
686
0
49
1
159
0
4
60
0
0
0
9
0
1
12
22
1
0
21
154
5
0
19
0
0
0
250
1123
124
0
14
1
203
109
206
4
395
33
7
241
34
563
0
273
154
2
2
128
80
3
3
0
53
60
68
0
46
12
651
7113
14
49
31
19
147
841
14
7
81
29
97
6
0
0
0
0
0
11
5
49
92
0
0
2
213
1
2180
149
51
28
317
63
0
11
8
2628
243
37
1313
106
1222
138
9
509
99
99
170
10
3
282
294
120
81
0
9
0
76
0
5
0
104
0
1
55
196
86
0
190
0
49
2
0
3
25
3
2
13
3
150
21
528
19
976
362
1
195
1222
0
18
4
0
0
0
0
1865
0
0
0
1
362
24
0
0
0
1
130
39
51
0
12
22
1
14
15
2
368
13
392
1
13
104
8
1291
277
24
1
0
0
5
2
4
0
56
290
7
341
0
0
0
0
1
23
1
23
0
1
0
2
7
24
0
0
1
0
34
0
10
3
14
0
0
0
0
0
0
0
14
277
0
1924
5
0
0
0
11
13
8
13
80
8
0
205
0
484
623
0
13
15
1
0
35
499
0
0
0
0
0
11
225
8
0
0
243
33
1
27
28
53
3
0
0
0
0
199
0
0
33
46
103
1
0
0
1982
4
49
4
50
0
98
16
14
0
284
1
0
25
3
0
28
59
3
42
0
23
4948
0
19
134
0
27
0
0
3
1
142
0
23
8
2551
34
4
4190
4449
3149
946
49
1
0
70
69
0
203
59
457
20
1
1134
980
0
67
173
17
123
11
46
62
15
30
80
9
3
0
218
311
51
0
0
402
90
39
2549
4
17
0
29
0
0
0
39
286
20
9
148
397
69
2719
17
2
0
2472
1212
2
0
0
0
0
0
0
0
0
4
0
0
0
0
0
0
0
0
0
1
4
203
50
1
58
0
0
0
0
0
0
10
71
21
978
0
0
0
56
6
0
2
54
11
62
17
32
40
174
12
32
12
0
3
0
0
0
0
0
0
1
1
55
2
0
0
1
0
0
10
0
0
0
1
0
2
0
0
28
2
7
0
0
0
0
5
247
0
4
0
14
1
10
30
0
0
104
67
0
0
0
7
1
0
6
15
0
627
744
0
61
0
0
0
690
4
0
34
63
5
35
8
0
431
32
74
1
0
418
0
10
28
45
1
10
9
6
2
64
0
2
17
52
0
2
25
0
279
1883
3
3
0
0
0
0
0
92
0
34
0
0
0
0
10
0
25
23
7
6
80
85
4
0
194
3009
227
0
314
5
255
0
2776
82
130
4
159
538
785
82
ROBOTISERINGS%
73%
3%
59%
5%
8%
8%
9%
0%
75%
25%
29%
98%
98%
8%
8%
8%
97%
4%
23%
23%
90%
21%
30%
22%
65%
45%
22%
22%
22%
22%
52%
52%
81%
68%
75%
84%
84%
81%
1%
38%
24%
84%
24%
24%
24%
24%
96%
96%
1%
97%
97%
57%
91%
85%
42%
61%
94%
99%
1%
15%
13%
60%
39%
56%
4%
2%
5%
37%
98%
13%
3%
2%
13%
13%
10%
72%
55%
74%
98%
13%
2%
60%
31%
14%
1%
90%
90%
47%
23%
5%
13%
92%
4%
10%
34%
3%
34%
6%
91%
71%
40%
40%
30%
35%
25%
39%
47%
47%
3%
2%
54%
51%
30%
78%
89%
72%
86%
63%
63%
3%
0%
0%
17%
48%
48%
5%
60%
34%
34%
34%
10%
10%
57%
95%
84%
67%
10%
63%
81%
83%
30%
96%
97%
94%
57%
66%
66%
95%
97%
77%
54%
8%
8%
82%
96%
72%
54%
20%
11%
1%
95%
29%
21%
91%
6%
8%
74%
9%
9%
6%
28%
97%
98%
92%
54%
2%
10%
25%
25%
25%
99%
97%
94%
1%
95%
96%
98%
90%
97%
98%
86%
46%
97%
97%
55%
70%
97%
94%
95%
92%
90%
96%
99%
99%
49%
96%
88%
95%
86%
98%
81%
96%
78%
99%
16%
98%
98%
96%
66%
57%
57%
8%
94%
95%
87%
75%
87%
97%
17%
17%
68%
82%
89%
72%
82%
79%
87%
75%
94%
88%
83%
79%
15%
73%
64%
75%
40%
35%
84%
90%
90%
82%
83%
39%
53%
89%
83%
71%
71%
0%
74%
15%
76%
36%
70%
76%
91%
41%
61%
65%
82%
71%
91%
55%
59%
59%
73%
75%
40%
88%
66%
79%
93%
94%
59%
70%
91%
63%
65%
40%
65%
72%
67%
59%
82%
10%
49%
97%
27%
91%
99%
64%
64%
94%
18%
90%
50%
2%
79%
95%
97%
82%
93%
97%
49%
98%
89%
93%
60%
70%
86%
36%
84%
98%
65%
87%
93%
90%
84%
94%
94%
61%
92%
97%
83%
95%
52%
84%
0%
39%
92%
87%
4%
96%
91%
95%
64%
85%
89%
61%
85%
78%
71%
86%
88%
98%
92%
95%
1%
97%
45%
69%
92%
88%
99%
66%
98%
90%
90%
7%
55%
71%
35%
25%
67%
89%
79%
89%
96%
91%
86%
83%
27%
27%
62%
4%
97%
90%
90%
92%
94%
91%
90%
8%
48%
97%
69%
18%
98%
5%
55%
1%
1%
8%
1%
2%
2%
2%
85%
85%
98%
13%
40%
40%
4%
96%
79%
8%
80%
5%
39%
1%
39%
60%
90%
82%
80%
72%
8%
95%
0%
63%
97%
85%
4%
66%
94%
75%
9%
31%
2%
82%
97%
52%
0%
34%
13%
13%
39%
19%
73%
91%
6%
40%
88%
13%
99%
2%
96%
8%
8%
53%
75%
79%
52%
7%
7%
92%
47%
1%
1%
2%
77%
82%
15%
93%
94%
0%
8%
53%
65%
79%
47%
52%
98%
1%
4%
8%
64%
13%
88%
86%
48%
30%
66%
68%
10%
95%
97%
98%
93%
28%
23%
1%
15%
68%
97%
45%
98%
91%
37%
15%
55%
13%
4%
2%
40%
13%
35%
40%
88%
88%
94%
88%
92%
86%
88%
40%
29%
28%
47%
27%
61%
84%
21%
67%
67%
96%
28%
10%
97%
61%
43%
37%
80%
79%
83%
8%
83%
51%
96%
39%
94%
99%
98%
61%
94%
85%
95%
68%
79%
98%
95%
81%
94%
92%
87%
88%
82%
95%
83%
87%
62%
75%
83%
92%
74%
57%
92%
92%
87%
83%
53%
93%
85%
59%
37%
86%
77%
18%
79%
98%
91%
61%
91%
93%
83%
78%
94%
95%
88%
67%
95%
94%
91%
84%
88%
97%
99%
97%
95%
73%
96%
88%
86%
97%
76%
97%
83%
64%
86%
93%
37%
97%
98%
91%
95%
81%
93%
90%
90%
67%
94%
92%
3%
98%
69%
93%
83%
75%
93%
65%
93%
37%
90%
93%
72%
75%
18%
87%
95%
87%
95%
75%
3%
51%
93%
97%
87%
69%
49%
94%
87%
77%
92%
96%
94%
86%
91%
77%
69%
82%
96%
97%
98%
64%
95%
41%
75%
75%
75%
75%
83%
77%
76%
79%
94%
80%
54%
96%
68%
96%
94%
71%
81%
89%
97%
66%
50%
87%
83%
85%
93%
38%
71%
69%
98%
74%
97%
92%
88%
75%
75%
50%
69%
68%
94%
OPLEIDINGSNIVEAU
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
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3
3
3
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3
3
3
3
3
3
3
3
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3
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3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
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2
2
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2
2
2
2
2
2
2
2
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2
2
2
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2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
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2
2
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2
2
2
2
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2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1